Open zactobias44 opened 4 years ago
Hmm…. this is new. 374 is a big module, should work. Can you please send me your data files - kMEs, and annotations?
Misha
On Jan 14, 2020, at 4:48 PM, zactobias44 notifications@github.com wrote:
Thanks for creating this package! It's been super useful.
Ran into an issue when trying to analyze a signed WGCNA module. Uncommented the lines in gomwuStats() accordingly, but I get the following error message:
Error in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative): not enough 'y' observations Traceback:
- gomwuStats(input, goDatabase, goAnnotations, goDivision, perlPath = "perl", . largest = 0.1, smallest = 5, clusterCutHeight = 0.25, Module = TRUE, . Alternative = "g")
- mwuTest(rsq.m, "g")
- wilcox.test(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative)
- wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative)
stop("not enough 'y' observations") I traced it back to the wilcox.test.R script:
else { ##-------------------------- 2-sample case --------------------------- if(length(y) < 1L) stop("not enough 'y' observations") My input looks like:
transcript,kME TRINITY_DN20052_c0_g1_i1,0 TRINITY_DN81967_c0_g1_i1,0.9317793 TRINITY_DN117943_c0_g1_i1,0 TRINITY_DN27472_c0_g1_i1,0 TRINITY_DN7112_c0_g1_i2,0 TRINITY_DN69001_c0_g1_i1,0 The module has 374 transcripts in it, from a total of ~45K. Is this too small to be analyzed using this approach? Perhaps transcripts are being discarded earlier in the process? It works if I switch to a simple Fisher test (changing all non-zero values above to ones), but I'd like to be able to harness the power of MWU!
Thanks!
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Sure thing! Left my computer at the office. Will do first thing in the morning.
Thanks!
On Tue, Jan 14, 2020 at 7:06 PM Mikhail V Matz notifications@github.com wrote:
Hmm…. this is new. 374 is a big module, should work. Can you please send me your data files - kMEs, and annotations?
Misha
On Jan 14, 2020, at 4:48 PM, zactobias44 notifications@github.com wrote:
Thanks for creating this package! It's been super useful.
Ran into an issue when trying to analyze a signed WGCNA module. Uncommented the lines in gomwuStats() accordingly, but I get the following error message:
Error in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative): not enough 'y' observations Traceback:
- gomwuStats(input, goDatabase, goAnnotations, goDivision, perlPath = "perl", . largest = 0.1, smallest = 5, clusterCutHeight = 0.25, Module = TRUE, . Alternative = "g")
- mwuTest(rsq.m, "g")
- wilcox.test(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative)
- wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative)
- stop("not enough 'y' observations") I traced it back to the wilcox.test.R script:
else { ##-------------------------- 2-sample case
if(length(y) < 1L) stop("not enough 'y' observations") My input looks like:
transcript,kME TRINITY_DN20052_c0_g1_i1,0 TRINITY_DN81967_c0_g1_i1,0.9317793 TRINITY_DN117943_c0_g1_i1,0 TRINITY_DN27472_c0_g1_i1,0 TRINITY_DN7112_c0_g1_i2,0 TRINITY_DN69001_c0_g1_i1,0 The module has 374 transcripts in it, from a total of ~45K. Is this too small to be analyzed using this approach? Perhaps transcripts are being discarded earlier in the process? It works if I switch to a simple Fisher test (changing all non-zero values above to ones), but I'd like to be able to harness the power of MWU!
Thanks!
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Here are my inputs. I expression filtered my txm before running WGCNA, but not before annotation, so I thought the error could be due to transcript IDs appearing in the annotation file but not in the kME input. I made a reduced version of the annotations including only those transcripts that were included in the WGCNA analysis, but I am getting the same error.
Thanks!
GO_MWU_annot_1e-50_WGCNA_reduced.txt GO_MWU_WGCNA_FP_kMEgreenyellow.txt
Found the bug! please re-clone the repository - there will be a change to gomwu.functions.R
cheers Misha
On Jan 15, 2020, at 7:46 AM, zactobias44 notifications@github.com wrote:
Here are my inputs. I expression filtered my txm before running WGCNA, but not before annotation, so I thought the error could be due to transcript IDs appearing in the annotation file but not in the kME input. I made a reduced version of the annotations including only those transcripts that were included in the WGCNA analysis, but I am getting the same error.
Thanks!
GO_MWU_annot_1e-50_WGCNA_reduced.txt https://github.com/z0on/GO_MWU/files/4065134/GO_MWU_annot_1e-50_WGCNA_reduced.txt GO_MWU_WGCNA_FP_kMEgreenyellow.txt https://github.com/z0on/GO_MWU/files/4065135/GO_MWU_WGCNA_FP_kMEgreenyellow.txt — You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/z0on/GO_MWU/issues/6?email_source=notifications&email_token=ABZUHGFO3MUBK6DVCYA7GGLQ54HTBA5CNFSM4KG2YAV2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEJALMVY#issuecomment-574666327, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABZUHGAGTTOZ225QFNN4AJDQ54HTBANCNFSM4KG2YAVQ.
It works! Awesome. Thanks again!
Zac
Sorry to bother you again. Not sure if this is related to the other issue or bug fix, but just got this message when running the analysis on a different module/division combination:
shuffling values to calculate FDR, 20 reps
replicate 1
Warning message in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative):
“cannot compute exact p-value with ties”Warning message in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative):
“cannot compute exact p-value with ties”Warning message in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative):
“cannot compute exact p-value with ties”Warning message in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative
....
....
....
It still generates the output, but just wanna make sure the padj aren't affected.
Thanks!
i think i know what is going on - most likely everything is ok, but can you please send me that input file?
Misha
On Jan 15, 2020, at 4:12 PM, zactobias44 notifications@github.com wrote:
Sorry to bother you again. Not sure if this is related to the other issue or bug fix, but just got this message when running the analysis on a different module/division combination:
shuffling values to calculate FDR, 20 reps replicate 1 Warning message in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative): “cannot compute exact p-value with ties”Warning message in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative): “cannot compute exact p-value with ties”Warning message in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative = Alternative): “cannot compute exact p-value with ties”Warning message in wilcox.test.default(nrg[sgo.yes], nrg[sgo.no], alternative .... .... .... It still generates the output, but just wanna make sure the padj aren't affected.
Thanks!
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That same message is actually printed when I analyze the module I already sent for the CC division. Please let me know if you aren't able to replicate. I can send a different module if need be.
Thanks!
Maybe you left genes without annotations in the GO annotations table? They should be removed
Thanks for creating this package! It's been super useful.
Ran into an issue when trying to analyze a signed WGCNA module. Uncommented the lines in gomwuStats() accordingly, but I get the following error message:
I traced it back to the wilcox.test.R script:
My input looks like:
It works when I run it on the coral data you included.
The module has 374 transcripts in it, from a total of ~45K. Is this too small to be analyzed using this approach? Perhaps transcripts are being discarded earlier in the process? It works if I switch to a simple Fisher test (changing all non-zero values above to ones), but I'd like to be able to harness the power of MWU!
Thanks!