HSMMdata


The R object is a log2 transformed expression matrix (HSMMdata) with 518 genes and 271 cells. This dataset is a subset of original gene expression profiles, which is available in the HSMMSingleCell package.


Given single-cell RNA-seq data and true experiment time of cells or pseudo-time cell ordering, SEPA provides convenient functions for users to assign genes into different gene expression patterns such as constant, monotone increasing and increasing then decreasing. SEPA then performs GO enrichment analysis to analysis the functional roles of genes with same or similar patterns.

Zhicheng Ji

SEPA

HSMMdata function

Format

<a href="http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE52529">http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE52529</a>

Source

The R object is a log2 transformed expression matrix (HSMMdata) with 518 genes and 271 cells. This dataset is a subset of original gene expression profiles, which is available in the HSMMSingleCell package.

HSMMdata: Sinlge-cell RNA-seq data for HSMM (Human Skeletal Muscle Myoblast)

Description

Arguments

Format

Source

References