BP: BaySeq Profile used in simulations by Hardcastle et al
In EDDA: Experimental Design in Differential Abundance analysis
Description
Usage
Format
References
Description
RNA-seq profile datasets.
Usage
1
Format
Data frames with 8647 observations on the following 2 variables.
genea character vector
expressiona numeric vector
References
Hardcastle, T.J. & Kelly, K.a. baySeq: empirical Bayesian methods for identifying differential expression in sequence count data. BMC bioinformatics 11, 422-422.
EDDA documentation built on Nov. 8, 2020, 5:44 p.m.
R Package Documentation
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Description Usage Format References
Description
RNA-seq profile datasets.
Usage
1 |
Format
Data frames with 8647 observations on the following 2 variables.
genea character vector
expressiona numeric vector
References
Hardcastle, T.J. & Kelly, K.a. baySeq: empirical Bayesian methods for identifying differential expression in sequence count data. BMC bioinformatics 11, 422-422.
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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