Package: DEsingle 1.25.0

Zhun Miao

DEsingle: DEsingle for detecting three types of differential expression in single-cell RNA-seq data

DEsingle is an R package for differential expression (DE) analysis of single-cell RNA-seq (scRNA-seq) data. It defines and detects 3 types of differentially expressed genes between two groups of single cells, with regard to different expression status (DEs), differential expression abundance (DEa), and general differential expression (DEg). DEsingle employs Zero-Inflated Negative Binomial model to estimate the proportion of real and dropout zeros and to define and detect the 3 types of DE genes. Results showed that DEsingle outperforms existing methods for scRNA-seq DE analysis, and can reveal different types of DE genes that are enriched in different biological functions.

Authors:Zhun Miao <[email protected]>

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On BioConductor:DEsingle-1.25.0(bioc 3.20)DEsingle-1.24.0(bioc 3.19)

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2 exports 0.61 score 29 dependencies 15 mentions

Last updated 2 months agofrom:aa5d770c4f

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Dependencies:bbmlebdsmatrixBHBiocParallelcodetoolscpp11digestformatRfutile.loggerfutile.optionsgamlssgamlss.datagamlss.distgenericslambda.rlatticeMASSMatrixmaxLikmiscToolsmvtnormnlmenumDerivpsclsandwichsnowsurvivalVGAMzoo