EBSeq.pfun: EBSeq.pfun
In linbingqing/stableDE: Stability of methods for differential expression analysis of RNA-Seq data
Description
Usage
Arguments
Value
Examples
Description
Implement EBSeq.pfun with standard pipeline (Leng et al., 2013) with small
modification from
"http://imlspenticton.uzh.ch/robinson_lab/edgeR_robust/".
Usage
1
EBSeq.pfun(counts, group)
Arguments
counts
a matrix of raw read counts
group
factor that giving the experimental condition for each sample
Value
pval vector of p-values
padj vector of adjusted p-values by Benjamini-Hochberg procedure
Examples
1
2
bottomly <- RNAseq_data(sel_size = 3)
res <- EBSeq.pfun(bottomly$counts_evaluation, bottomly$group_evaluation)
linbingqing/stableDE documentation built on May 29, 2019, 3:06 a.m.
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Description Usage Arguments Value Examples
Description
Implement EBSeq.pfun with standard pipeline (Leng et al., 2013) with small modification from "http://imlspenticton.uzh.ch/robinson_lab/edgeR_robust/".
Usage
1 | EBSeq.pfun(counts, group)
|
Arguments
counts |
a matrix of raw read counts |
group |
factor that giving the experimental condition for each sample |
Value
pval vector of p-values
padj vector of adjusted p-values by Benjamini-Hochberg procedure
Examples
1 2 | bottomly <- RNAseq_data(sel_size = 3)
res <- EBSeq.pfun(bottomly$counts_evaluation, bottomly$group_evaluation)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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