Recent advances of single-cell RNA sequencing (scRNA-seq) technologies have led extensive study on cellular heterogeneity and cell-to-cell variation. However, the high frequency of dropout events and noise in scRNA-seq data confound the accuracy of the downstream analysis, i.e., clustering analysis, whose accuracy depends heavily on the selected feature genes.Here, by deriving entropy decomposition formula, we proposed a feature selection method, intrinsic entropy (IE) model, to identify the informative genes for accurately clustering analysis
Installing dependency package
Before installing IEntropy, the “rsvd” package should be installed first:
install.packages("rsvd")
Installing IEntropy
To install IEntropy, run:
install.packages('devtools')
library(devtools)
install_github('LinLi-0909/IEntropy/IEntropy')
library(IEntropy)
Please contact us:
Lin Li: lilin6@sibcb.ac.cn
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