YuanTian1991 / ChAMP

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Error using DMRcate function #18

Open aciolfi opened 3 years ago

aciolfi commented 3 years ago

Hi Tian, I cannot use champ.DMR with DMRcate method, since I always receive the same error:

> myDMRcate <- champ.DMR(beta=finalBeta,pheno=myLoadMin$pd$Classification,method="DMRcate", arraytype="EPIC", adjPvalDmr=0.05, compare.group=c("wt","affectedTraining"))

[===========================]
[<<<<< ChAMP.DMR START >>>>>]
-----------------------------
!!! important !!! We just upgrate champ.DMR() function, since now champ.DMP() could works on multiple phenotypes, but ProbeLasso can only works on one DMP result, so if your pheno parameter contains more than 2 phenotypes, and you want to use ProbeLasso function, you MUST specify compare.group=c("A","B"). Bumphunter and DMRcate should not be influenced.

[ Section 1:  Check Input Pheno Start ]

  You pheno is character type.
    Your pheno information contains following groups. >>
    <affectedTraining>:22 samples.
    <affectedTest>:12 samples.
    <wt>:38 samples.

[ Section 1:  Check Input Pheno Done ]

[ Section 2:  Run DMR Algorithm Start ]

3 cores will be used to do parallel DMRcate computing.
<< Find DMR with DMRcate Method >>
snapshotDate(): 2020-10-02
see ?DMRcatedata and browseVignettes('DMRcatedata') for documentation
loading from cache
see ?DMRcatedata and browseVignettes('DMRcatedata') for documentation
loading from cache
Your contrast returned 463030 individually significant probes. We recommend the default setting of pcutoff in dmrcate().
Error in as.list.default(X) : 
  no method for coercing this S4 class to a vector

Here's my sessionInfo:

R version 4.0.3 (2020-10-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] it_IT.UTF-8/it_IT.UTF-8/it_IT.UTF-8/C/it_IT.UTF-8/it_IT.UTF-8

attached base packages:
[1] stats4    parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] DMRcatedata_2.8.0                                   dataframes2xls_0.4.7                                doRNG_1.8.2                                        
 [4] rngtools_1.5                                        forcats_0.5.0                                       stringr_1.4.0                                      
 [7] dplyr_1.0.2                                         purrr_0.3.4                                         readr_1.4.0                                        
[10] tidyr_1.1.2                                         tibble_3.0.4                                        tidyverse_1.3.0                                    
[13] corrr_0.4.2                                         wateRmelon_1.34.0                                   illuminaio_0.32.0                                  
[16] IlluminaHumanMethylation450kanno.ilmn12.hg19_0.6.0  ROC_1.66.0                                          lumi_2.42.0                                        
[19] methylumi_2.36.0                                    FDb.InfiniumMethylation.hg19_2.2.0                  org.Hs.eg.db_3.12.0                                
[22] TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2             GenomicFeatures_1.42.1                              AnnotationDbi_1.52.0                               
[25] reshape2_1.4.4                                      scales_1.1.1                                        limma_3.46.0                                       
[28] MatchIt_4.0.0                                       shiny_1.5.0                                         xlsx_0.6.5                                         
[31] pROC_1.16.2                                         IlluminaHumanMethylationEPICanno.ilm10b3.hg19_0.6.0 FlowSorted.Blood.EPIC_1.8.0                        
[34] ExperimentHub_1.16.0                                AnnotationHub_2.22.0                                BiocFileCache_1.14.0                               
[37] dbplyr_2.0.0                                        IlluminaHumanMethylationEPICanno.ilm10b4.hg19_0.6.0 nlme_3.1-150                                       
[40] quadprog_1.5-8                                      genefilter_1.72.0                                   pheatmap_1.0.12                                    
[43] M3C_1.12.0                                          randomcoloR_1.1.0.1                                 viridis_0.5.1                                      
[46] viridisLite_0.3.0                                   RColorBrewer_1.1-2                                  ggfortify_0.4.11                                   
[49] factoextra_1.0.7                                    ggplot2_3.3.2                                       doParallel_1.0.16                                  
[52] ChAMP_2.20.1                                        RPMM_1.25                                           cluster_2.1.0                                      
[55] DT_0.16                                             IlluminaHumanMethylationEPICmanifest_0.3.0          Illumina450ProbeVariants.db_1.26.0                 
[58] DMRcate_2.4.0                                       ChAMPdata_2.22.0                                    minfi_1.36.0                                       
[61] bumphunter_1.32.0                                   locfit_1.5-9.4                                      iterators_1.0.13                                   
[64] foreach_1.5.1                                       Biostrings_2.58.0                                   XVector_0.30.0                                     
[67] SummarizedExperiment_1.20.0                         Biobase_2.50.0                                      MatrixGenerics_1.2.0                               
[70] matrixStats_0.57.0                                  GenomicRanges_1.42.0                                GenomeInfoDb_1.26.0                                
[73] IRanges_2.24.0                                      S4Vectors_0.28.0                                    BiocGenerics_0.36.0                                

loaded via a namespace (and not attached):
  [1] Hmisc_4.4-1                                corpcor_1.6.9                              ps_1.4.0                                   Rsamtools_2.6.0                           
  [5] crayon_1.3.4                               V8_3.4.0                                   MASS_7.3-53                                rhdf5filters_1.2.0                        
  [9] backports_1.2.0                            reprex_0.3.0                               sva_3.38.0                                 impute_1.64.0                             
 [13] rlang_0.4.8                                readxl_1.3.1                               DSS_2.38.0                                 BiocParallel_1.24.1                       
 [17] globaltest_5.44.0                          bit64_4.0.5                                glue_1.4.2                                 isva_1.9                                  
 [21] haven_2.3.1                                tidyselect_1.1.0                           XML_3.99-0.5                               nleqslv_3.3.2                             
 [25] GenomicAlignments_1.26.0                   xtable_1.8-4                               magrittr_1.5                               evaluate_0.14                             
 [29] cli_2.1.0                                  zlibbioc_1.36.0                            rstudioapi_0.13                            rpart_4.1-15                              
 [33] ensembldb_2.14.0                           xfun_0.19                                  askpass_1.1                                clue_0.3-57                               
 [37] multtest_2.46.0                            doSNOW_1.0.19                              interactiveDisplayBase_1.28.0              ggrepel_0.8.2                             
 [41] base64_2.0                                 biovizBase_1.38.0                          scrime_1.3.5                               dendextend_1.14.0                         
 [45] xlsxjars_0.6.1                             png_0.1-7                                  permute_0.9-5                              reshape_0.8.8                             
 [49] withr_2.3.0                                bitops_1.0-6                               cellranger_1.1.0                           plyr_1.8.6                                
 [53] AnnotationFilter_1.14.0                    JADE_2.0-3                                 pillar_1.4.6                               fs_1.5.0                                  
 [57] DelayedMatrixStats_1.12.0                  vctrs_0.3.4                                ellipsis_0.3.1                             generics_0.1.0                            
 [61] tools_4.0.3                                foreign_0.8-80                             munsell_0.5.0                              DelayedArray_0.16.0                       
 [65] fastmap_1.0.1                              compiler_4.0.3                             httpuv_1.5.4                               rtracklayer_1.50.0                        
 [69] geneLenDataBase_1.26.0                     beanplot_1.2                               Gviz_1.34.0                                plotly_4.9.2.1                            
 [73] rJava_0.9-13                               GenomeInfoDbData_1.2.4                     gridExtra_2.3                              DNAcopy_1.64.0                            
 [77] edgeR_3.32.0                               lattice_0.20-41                            snow_0.4-3                                 utf8_1.1.4                                
 [81] later_1.1.0.1                              jsonlite_1.7.1                             affy_1.68.0                                sparseMatrixStats_1.2.0                   
 [85] lazyeval_0.2.2                             promises_1.1.1                             latticeExtra_0.6-29                        R.utils_2.10.1                            
 [89] goseq_1.42.0                               reticulate_1.18                            checkmate_2.0.0                            rmarkdown_2.5                             
 [93] nor1mix_1.3-0                              statmod_1.4.35                             siggenes_1.64.0                            Rtsne_0.15                                
 [97] dichromat_2.0-0                            BSgenome_1.58.0                            HDF5Array_1.18.0                           bsseq_1.26.0                              
[101] survival_3.2-7                             yaml_2.2.1                                 htmltools_0.5.0                            memoise_1.1.0                             
[105] VariantAnnotation_1.36.0                   digest_0.6.27                              assertthat_0.2.1                           mime_0.9                                  
[109] rappdirs_0.3.1                             BiasedUrn_1.07                             RSQLite_2.2.1                              data.table_1.13.2                         
[113] blob_1.2.1                                 R.oo_1.24.0                                preprocessCore_1.52.0                      fastICA_1.2-2                             
[117] shinythemes_1.1.2                          splines_4.0.3                              Formula_1.2-4                              labeling_0.4.2                            
[121] Rhdf5lib_1.12.0                            ProtGenerics_1.22.0                        RCurl_1.98-1.2                             broom_0.7.2                               
[125] hms_0.5.3                                  modelr_0.1.8                               rhdf5_2.34.0                               colorspace_2.0-0                          
[129] base64enc_0.1-3                            BiocManager_1.30.10                        nnet_7.3-14                                GEOquery_2.58.0                           
[133] Rcpp_1.0.5                                 mclust_5.4.6                               matrixcalc_1.0-3                           fansi_0.4.1                               
[137] R6_2.5.0                                   grid_4.0.3                                 lifecycle_0.2.0                            curl_4.3                                  
[141] kpmt_0.1.0                                 affyio_1.60.0                              Matrix_1.2-18                              qvalue_2.22.0                             
[145] IlluminaHumanMethylation450kmanifest_0.4.0 htmlwidgets_1.5.2                          umap_0.2.7.0                               biomaRt_2.46.0                            
[149] missMethyl_1.24.0                          crosstalk_1.1.0.1                          marray_1.68.0                              rvest_0.3.6                               
[153] mgcv_1.8-33                                openssl_1.4.3                              htmlTable_2.1.0                            codetools_0.2-18                          
[157] lubridate_1.7.9.2                          GO.db_3.12.1                               gtools_3.8.2                               prettyunits_1.1.1                         
[161] RSpectra_0.16-0                            R.methodsS3_1.8.1                          gtable_0.3.0                               DBI_1.1.0                                 
[165] httr_1.4.2                                 KernSmooth_2.23-18                         stringi_1.5.3                              progress_1.2.2                            
[169] farver_2.0.3                               annotate_1.68.0                            xml2_1.3.2                                 combinat_0.0-8                            
[173] BiocVersion_3.12.0                         bit_4.0.4                                  jpeg_0.1-8.1                               pkgconfig_2.0.3                           
[177] knitr_1.30                                

Could you please help me to understand what is going wrong? Thank you

santanalele commented 3 years ago

Hi aciolfi,

I was having the same issue and this is how I managed to fix it. So I basically created a new function to run DMRcate. I've commented below the lines of code which I found issues while debugging it.

DMRcate_manual_run = function(beta_matrix,
                              pheno,
                              arraytype,
                              dist = 2, 
                              mafcut = 0.05,
                              fdr = 0.05,
                              lambda = 1000,
                              C = 2)
{

  require(DMRcate)
  myMs <- logit2(beta_matrix)
  myMs <- rmSNPandCH(myMs, dist = dist, mafcut = mafcut)
  design <- model.matrix(~ pheno)

  if(arraytype == "450K"){
    myannotation <- cpg.annotate(datatype = "array",
                                 fdr = 0.05, 
                                 myMs, 
                                 design = design,
                                 coef = ncol(design), 
                                 analysis.type = "differential",
                                 annotation = c(array = "IlluminaHumanMethylation450k", 
                                                annotation = "ilmn12.hg19"), 
                                 what = "M")
  } else {
    myannotation <- cpg.annotate(datatype = "array",
                                 fdr = 0.05, 
                                 myMs, 
                                 design = design,
                                 coef = ncol(design), 
                                 analysis.type = "differential",
                                 annotation = c(array = "IlluminaHumanMethylationEPIC", 
                                                annotation = "ilm10b4.hg19"), 
                                 what = "M")
  }

  #commenting lines with issues
  # M <- do.call("cbind", lapply(myannotation, as.data.frame)) #don't know why this code is here
  # colnames(M) <- names(myannotation) #don't know why this code is here

  #removed unused mc.cores argument
  dmrcoutput <- dmrcate(myannotation, lambda = lambda, C = C) #mc.cores = cores - this argument no longer applies 
  #data(dmrcatedata) - unsused line of code
  DMR <- as.data.frame(extractRanges(dmrcoutput, genome = "hg19"))
  rownames(DMR) <- paste("DMR", 1:nrow(DMR), sep="_")

  message("DMRcate detected ", nrow(DMR)," DMRs with mafcut as = ", mafcut, ".")
  if(nrow(DMR) == 0) 
    stop("No DMR detected.")

  return(DMR)
}

#to run
DMRs <- DMRcate_manual_run(beta_matrix, pheno, "EPIC")
aciolfi commented 3 years ago

Thanks a lot for the code!

Il giorno mar 30 mar 2021 alle 03:45 Alessandra Santana < @.***> ha scritto:

Hi aciolfi,

I was having the same issue and this is how I managed to fix it. So I basically created a new function to run DMRcate. I've commented below the lines of code which I found issues while debugging it.

DMRcate_manual_run = function(beta_matrix, pheno, arraytype, dist = 2, mafcut = 0.05, fdr = 0.05, lambda = 1000, C = 2) {

require(DMRcate) myMs <- logit2(beta_matrix) myMs <- rmSNPandCH(myMs, dist = dist, mafcut = mafcut) design <- model.matrix(~ pheno)

if(arraytype == "450K"){ myannotation <- cpg.annotate(datatype = "array", fdr = 0.05, myMs, design = design, coef = ncol(design), analysis.type = "differential", annotation = c(array = "IlluminaHumanMethylation450k", annotation = "ilmn12.hg19"), what = "M") } else { myannotation <- cpg.annotate(datatype = "array", fdr = 0.05, myMs, design = design, coef = ncol(design), analysis.type = "differential", annotation = c(array = "IlluminaHumanMethylationEPIC", annotation = "ilm10b4.hg19"), what = "M") }

commenting lines with issues

M <- do.call("cbind", lapply(myannotation, as.data.frame)) #don't know why this code is here

colnames(M) <- names(myannotation) #don't know why this code is here

removed unused mc.cores argument

dmrcoutput <- dmrcate(myannotation, lambda = lambda, C = C) #mc.cores = cores - this argument no longer applies

data(dmrcatedata) - unsused line of code

DMR <- as.data.frame(extractRanges(dmrcoutput, genome = "hg19")) rownames(DMR) <- paste("DMR", 1:nrow(DMR), sep="_")

message("DMRcate detected ", nrow(DMR)," DMRs with mafcut as = ", mafcut, ".") if(nrow(DMR) == 0) stop("No DMR detected.")

return(DMR) }

to runDMRs <- DMRcate_manual_run(beta_matrix, pheno, "EPIC")

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ClaireXinSun commented 3 years ago

Hi,

Thanks for the answers and do we have the "compare.group" parametre to specify the comparison?

Cheers Claire

aciolfi commented 3 years ago

No, as far as I know there is no way to specify this info using DMRcate, unfortunately.

Best, Andrea

Il giorno lun 17 mag 2021 alle 02:32 ClaireXinSun @.***> ha scritto:

Hi,

Thanks for the answers and do we have the "compare.group" parametre to specify the comparison?

Cheers Claire

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/YuanTian1991/ChAMP/issues/18#issuecomment-841905716, or unsubscribe https://github.com/notifications/unsubscribe-auth/AELVFVZD57XOYP4GAHZXHRLTOBP3XANCNFSM4T3GU5NA .

ehugos commented 1 year ago

Hi! I am still experiencing this issue, however, i am not experiencing it when running DMRcate separately/standalone. Any updates from the authors regarding this issue?

chiaracapp commented 8 months ago

Hi! I'm experiencing the same issue:

myDMR <- champ.DMR(beta=myCombat,
+                    pheno=myLoad$pd$AMH,
+                    compare.group=NULL, # not important with 2 groups
+                    arraytype="EPIC",
+                    method = "DMRcate",
+                    minProbes=7, # 3 in campagna et al default is 7
+                    adjPvalDmr=0.05,
+                    cores=5,
+                    ## following parameters are specifically for DMRcate method.
+                    rmSNPCH=T,
+                    fdr=0.05,
+                    dist=2,
+                    mafcut=0.05,
+                    lambda=1000,
+                    C=2)
[===========================]
[<<<<< ChAMP.DMR START >>>>>]
-----------------------------
!!! important !!! We just upgrate champ.DMR() function, since now champ.DMP() could works on multiple phenotypes, but ProbeLasso can only works on one DMP result, so if your pheno parameter contains more than 2 phenotypes, and you want to use ProbeLasso function, you MUST specify compare.group=c("A","B"). Bumphunter and DMRcate should not be influenced.

[ Section 1:  Check Input Pheno Start ]

  You pheno is factor type.
    Your pheno information contains following groups. >>
    <2>:125 samples.
    <1>:83 samples.

[ Section 1:  Check Input Pheno Done ]

[ Section 2:  Run DMR Algorithm Start ]

5 cores will be used to do parallel DMRcate computing.
<< Find DMR with DMRcate Method >>
snapshotDate(): 2023-04-24
see ?DMRcatedata and browseVignettes('DMRcatedata') for documentation
loading from cache
see ?DMRcatedata and browseVignettes('DMRcatedata') for documentation
loading from cache
Your contrast returned 5961 individually significant probes. We recommend the default setting of pcutoff in dmrcate().
Error in as.list.default(X) : 
  no method for coercing this S4 class to a vector

My session info:

R version 4.3.1 (2023-06-16)
Platform: x86_64-apple-darwin20 (64-bit)
Running under: macOS Sonoma 14.0

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib 
LAPACK: /Library/Frameworks/R.framework/Versions/4.3-x86_64/Resources/lib/libRlapack.dylib;  LAPACK version 3.11.0

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

time zone: Europe/Oslo
tzcode source: internal

attached base packages:
[1] parallel  stats4    stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] shiny_1.8.0                                         DMRcatedata_2.18.0                                 
 [3] ExperimentHub_2.8.1                                 AnnotationHub_3.8.0                                
 [5] BiocFileCache_2.8.0                                 dbplyr_2.3.4                                       
 [7] IlluminaHumanMethylationEPICanno.ilm10b4.hg19_0.6.0 ChAMP_2.30.0                                       
 [9] RPMM_1.25                                           cluster_2.1.4                                      
[11] DT_0.30                                             IlluminaHumanMethylationEPICmanifest_0.3.0         
[13] Illumina450ProbeVariants.db_1.36.0                  DMRcate_2.14.1                                     
[15] ChAMPdata_2.32.0                                    minfi_1.46.0                                       
[17] bumphunter_1.42.0                                   locfit_1.5-9.8                                     
[19] iterators_1.0.14                                    foreach_1.5.2                                      
[21] Biostrings_2.68.1                                   XVector_0.40.0                                     
[23] SummarizedExperiment_1.30.2                         Biobase_2.60.0                                     
[25] MatrixGenerics_1.12.3                               matrixStats_1.1.0                                  
[27] GenomicRanges_1.52.1                                GenomeInfoDb_1.36.4                                
[29] IRanges_2.34.1                                      S4Vectors_0.38.2                                   
[31] BiocGenerics_0.46.0                                

loaded via a namespace (and not attached):
  [1] DSS_2.48.0                                         ProtGenerics_1.32.0                               
  [3] bitops_1.0-7                                       doParallel_1.0.17                                 
  [5] httr_1.4.7                                         RColorBrewer_1.1-3                                
  [7] tools_4.3.1                                        doRNG_1.8.6                                       
  [9] backports_1.4.1                                    utf8_1.2.4                                        
 [11] R6_2.5.1                                           HDF5Array_1.28.1                                  
 [13] lazyeval_0.2.2                                     mgcv_1.9-0                                        
 [15] Gviz_1.44.2                                        methylumi_2.46.0                                  
 [17] rhdf5filters_1.12.1                                permute_0.9-7                                     
 [19] withr_2.5.2                                        ROC_1.76.0                                        
 [21] prettyunits_1.2.0                                  gridExtra_2.3                                     
 [23] base64_2.0.1                                       preprocessCore_1.62.1                             
 [25] cli_3.6.1                                          wateRmelon_2.6.0                                  
 [27] sass_0.4.7                                         JADE_2.0-4                                        
 [29] readr_2.1.4                                        genefilter_1.82.1                                 
 [31] goseq_1.52.0                                       askpass_1.2.0                                     
 [33] Rsamtools_2.16.0                                   foreign_0.8-85                                    
 [35] siggenes_1.74.0                                    illuminaio_0.42.0                                 
 [37] R.utils_2.12.3                                     lumi_2.52.0                                       
 [39] dichromat_2.0-0.1                                  scrime_1.3.5                                      
 [41] BSgenome_1.68.0                                    limma_3.56.2                                      
 [43] readxl_1.4.3                                       impute_1.74.1                                     
 [45] rstudioapi_0.15.0                                  RSQLite_2.3.3                                     
 [47] generics_0.1.3                                     BiocIO_1.10.0                                     
 [49] combinat_0.0-8                                     crosstalk_1.2.0                                   
 [51] gtools_3.9.4                                       dendextend_1.17.1                                 
 [53] dplyr_1.1.4                                        GO.db_3.17.0                                      
 [55] Matrix_1.6-3                                       interp_1.1-4                                      
 [57] fansi_1.0.5                                        abind_1.4-5                                       
 [59] R.methodsS3_1.8.2                                  lifecycle_1.0.4                                   
 [61] yaml_2.3.7                                         edgeR_3.42.4                                      
 [63] qvalue_2.32.0                                      rhdf5_2.44.0                                      
 [65] grid_4.3.1                                         blob_1.2.4                                        
 [67] promises_1.2.1                                     crayon_1.5.2                                      
 [69] lattice_0.22-5                                     GenomicFeatures_1.52.2                            
 [71] annotate_1.78.0                                    KEGGREST_1.40.1                                   
 [73] pillar_1.9.0                                       knitr_1.45                                        
 [75] beanplot_1.3.1                                     rjson_0.2.21                                      
 [77] marray_1.78.0                                      codetools_0.2-19                                  
 [79] glue_1.6.2                                         data.table_1.14.8                                 
 [81] vctrs_0.6.4                                        png_0.1-8                                         
 [83] cellranger_1.1.0                                   gtable_0.3.4                                      
 [85] IlluminaHumanMethylation450kanno.ilmn12.hg19_0.6.1 cachem_1.0.8                                      
 [87] xfun_0.41                                          S4Arrays_1.0.6                                    
 [89] mime_0.12                                          survival_3.5-7                                    
 [91] shinythemes_1.2.0                                  fastICA_1.2-3                                     
 [93] statmod_1.5.0                                      interactiveDisplayBase_1.38.0                     
 [95] ellipsis_0.3.2                                     nlme_3.1-163                                      
 [97] kpmt_0.1.0                                         bit64_4.0.5                                       
 [99] bsseq_1.36.0                                       progress_1.2.2                                    
[101] filelock_1.0.2                                     bslib_0.5.1                                       
[103] nor1mix_1.3-2                                      affyio_1.70.0                                     
[105] KernSmooth_2.23-22                                 IlluminaHumanMethylation450kmanifest_0.4.0        
[107] rpart_4.1.21                                       colorspace_2.1-0                                  
[109] DBI_1.1.3                                          Hmisc_5.1-1                                       
[111] nnet_7.3-19                                        DNAcopy_1.74.1                                    
[113] tidyselect_1.2.0                                   bit_4.0.5                                         
[115] compiler_4.3.1                                     curl_5.1.0                                        
[117] htmlTable_2.4.2                                    BiasedUrn_2.0.11                                  
[119] xml2_1.3.5                                         plotly_4.10.3                                     
[121] DelayedArray_0.26.7                                rtracklayer_1.60.1                                
[123] checkmate_2.3.0                                    scales_1.2.1                                      
[125] affy_1.78.2                                        quadprog_1.5-8                                    
[127] rappdirs_0.3.3                                     stringr_1.5.1                                     
[129] digest_0.6.33                                      rmarkdown_2.25                                    
[131] GEOquery_2.68.0                                    htmltools_0.5.7                                   
[133] pkgconfig_2.0.3                                    jpeg_0.1-10                                       
[135] base64enc_0.1-3                                    sparseMatrixStats_1.12.2                          
[137] fastmap_1.1.1                                      ensembldb_2.24.1                                  
[139] rlang_1.1.2                                        htmlwidgets_1.6.2                                 
[141] DelayedMatrixStats_1.22.6                          farver_2.1.1                                      
[143] jquerylib_0.1.4                                    jsonlite_1.8.7                                    
[145] BiocParallel_1.34.2                                mclust_6.0.1                                      
[147] R.oo_1.25.0                                        VariantAnnotation_1.46.0                          
[149] RCurl_1.98-1.13                                    magrittr_2.0.3                                    
[151] Formula_1.2-5                                      GenomeInfoDbData_1.2.10                           
[153] Rhdf5lib_1.22.1                                    munsell_0.5.0                                     
[155] Rcpp_1.0.11                                        viridis_0.6.4                                     
[157] stringi_1.8.1                                      nleqslv_3.3.4                                     
[159] zlibbioc_1.46.0                                    MASS_7.3-60                                       
[161] globaltest_5.54.0                                  plyr_1.8.9                                        
[163] org.Hs.eg.db_3.17.0                                deldir_1.0-9                                      
[165] splines_4.3.1                                      multtest_2.56.0                                   
[167] geneLenDataBase_1.36.0                             hms_1.1.3                                         
[169] rngtools_1.5.2                                     reshape2_1.4.4                                    
[171] biomaRt_2.56.1                                     BiocVersion_3.17.1                                
[173] missMethyl_1.34.0                                  XML_3.99-0.15                                     
[175] evaluate_0.23                                      latticeExtra_0.6-30                               
[177] biovizBase_1.48.0                                  BiocManager_1.30.22                               
[179] isva_1.9                                           tzdb_0.4.0                                        
[181] httpuv_1.6.12                                      tidyr_1.3.0                                       
[183] openssl_2.1.1                                      purrr_1.0.2                                       
[185] clue_0.3-65                                        reshape_0.8.9                                     
[187] ggplot2_3.4.4                                      xtable_1.8-4                                      
[189] restfulr_0.0.15                                    AnnotationFilter_1.24.0                           
[191] later_1.3.1                                        viridisLite_0.4.2                                 
[193] tibble_3.2.1                                       memoise_2.0.1                                     
[195] AnnotationDbi_1.62.2                               GenomicAlignments_1.36.0                          
[197] sva_3.48.0                                        
valderpan commented 6 months ago

Hi! I am experiencing the same problem when analyzing 850K data, can the authors give us some help?