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[ 源代码: r-bioc-edger  ]

软件包: r-bioc-edger (3.36.0+dfsg-1)

Empirical analysis of digital gene expression data in R

Bioconductor package for differential expression analysis of whole transcriptome sequencing (RNA-seq) and digital gene expression profiles with biological replication. It uses empirical Bayes estimation and exact tests based on the negative binomial distribution. It is also useful for differential signal analysis with other types of genome-scale count data.

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硬件架构 软件包大小 安装后大小 文件
amd64 1,081.1 kB1411 kB [文件列表]
arm64 1,067.7 kB1375 kB [文件列表]
armhf 1,069.4 kB1310 kB [文件列表]
ppc64el 1,085.6 kB1467 kB [文件列表]