bioc-issue-bot
commented
2 years ago Hi @khazum
Thanks for submitting your package. We are taking a quick look at it and you will hear back from us soon.
The DESCRIPTION file for this package is:
Package: ccImpute
Type: Package
Title: ccImpute: an accurate and scalable consensus clustering based approach to
impute dropout events in the single-cell RNA-seq data
Version: 0.99.0
Authors@R: person("Marcin", "Malec",
email = "mamalec@iu.edu",
role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-2354-513X"))
Description: Dropout events make the lowly expressed genes indistinguishable
from true zero expression and different than the low expression present in
cells of the same type. This issue makes any subsequent downstream analysis
difficult. ccImpute is an imputation algorithm that uses cell similarity
established by consensus clustering to impute the most probable dropout
events in the scRNA-seq datasets. ccImpute demonstrated performance which
exceeds the performance of existing imputation approaches while introducing
the least amount of new noise as measured by clustering performance
characteristics on datasets with known cell identities.
License: GPL-3
Imports: Rcpp, doParallel, foreach, matrixStats, parallel, stats, SIMLR
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.2
biocViews: SingleCell, PrincipalComponent, DimensionReduction,
Clustering, RNASeq, Transcriptomics
biocType: Software
Suggests:
knitr, rmarkdown, BiocStyle, sessioninfo, scRNAseq, scater,
SingleCellExperiment, mclust
VignetteBuilder: knitr
vjcitn
khazum
PeteHaitch
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