GeneExampleData: Simulated gene level data set with 5 ordered conditions
In EBSeqHMM: Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments
Description
Format
See Also
Examples
Description
'GeneExampleData' gives the gene level simulated data with 5 ordered conditions, triplicates for each condition.
The data set was simulated following the Negative Binomial distribution. The parameters of each gene (mean and overdispersion)
were sampled from the empirical estimates from an empirical RNA-Seq data set from Thomson lab at Morgridge Institute for
Research.
Format
GeneExampleData is a matrix with 100 genes (rows) and 15 samples (columns).
See Also
IsoExampleList
Examples
1
2
EBSeqHMM documentation built on Nov. 8, 2020, 5:22 p.m.
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Description Format See Also Examples
Description
'GeneExampleData' gives the gene level simulated data with 5 ordered conditions, triplicates for each condition. The data set was simulated following the Negative Binomial distribution. The parameters of each gene (mean and overdispersion) were sampled from the empirical estimates from an empirical RNA-Seq data set from Thomson lab at Morgridge Institute for Research.
Format
GeneExampleData is a matrix with 100 genes (rows) and 15 samples (columns).
See Also
IsoExampleList
Examples
1 2 |
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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