simuN5: Simulated study with random outliers
In ABSSeq: ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences
Description
Usage
Format
Details
Source
References
Examples
Description
Simulated study with random outliers, include five samples for two groups.
It contains counts table, groups and defined differential expression genes.
Usage
1
Format
The format is:
List of 3
$ counts: integer, reads count matrix
$ groups: two groups
$ DEs : differential expression genes
Details
Multiple each gene with a value from 5-10 by chance at pvalue of 0.05.
Source
http://bcf.isb-sib.ch/data/compcodeR/
References
Soneson C, Delorenzi M: A comparison of methods for differential expression analysis of RNA-seq data. BMC Bioinformatics 2013, 14(1):91.
Examples
1
ABSSeq documentation built on Nov. 8, 2020, 5:07 p.m.
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Description Usage Format Details Source References Examples
Description
Simulated study with random outliers, include five samples for two groups. It contains counts table, groups and defined differential expression genes.
Usage
1 |
Format
The format is: List of 3
$ counts: integer, reads count matrix
$ groups: two groups
$ DEs : differential expression genes
Details
Multiple each gene with a value from 5-10 by chance at pvalue of 0.05.
Source
http://bcf.isb-sib.ch/data/compcodeR/
References
Soneson C, Delorenzi M: A comparison of methods for differential expression analysis of RNA-seq data. BMC Bioinformatics 2013, 14(1):91.
Examples
1 |
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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