proportionsLiverBrainLung: GSE19830 proportions

In ctlab/ClusDec: Clustering approach to solve complete Deconvolution problem

Description

tissue proportions from GSE19830 experiment: 3 tissues (liver, brain and lung) were mixed in different proportions:

Usage

data(proportionsLiverBrainLung)

Format

An object of class 'matrix'

Details

GSM495209-GSM495211 pure liver samples GSM495212-GSM495214 pure brain samples GSM495215-GSM495217 pure lung samples GSM495218-GSM495220 5 GSM495221-GSM495223 70 GSM495224-GSM495226 25 GSM495227-GSM495229 70 GSM495230-GSM495232 45 GSM495233-GSM495235 55 GSM495236-GSM495238 50 GSM495239-GSM495241 55 GSM495242-GSM495244 50 GSM495245-GSM495247 60 GSM495248-GSM495250 65

Source

QTL Archive

References

Shen-Orr SS, Tibshirani R, Khatri P, et al. cell type-specific gene expression differences in complex tissues. Nature methods. 2010;7(4):287-289. doi:10.1038/nmeth.1439. (PubMed)

Examples

data(proportionsLiverBrainLung)
mixedProportions <- proportionsLiverBrainLung[, 10:42]
barplot(mixedProportions, main='Proprotions of tissues in samples', col=c('#00BA38','#F8766D', '#619CFF'),
        legend = rownames(mixedProportions))

ctlab/ClusDec documentation built on May 14, 2019, 12:29 p.m.