scGEM: Unveiling the Nested Tree-Structured Gene Co-Expressing Modules in Single Cell Transcriptome Data.

Han ZhangXinghua LuBinfeng LuLujia Chen

Published in: Cancers (2023)

Altogether, we demonstrate that scGEM can be used to model the hidden cellular functions of single cells, thereby unveiling the specialization and generalization of transcriptomic programs across different types of cells.

Keyphrases

single cell
induced apoptosis
rna seq
cell cycle arrest
genome wide
public health
gene expression
endoplasmic reticulum stress
oxidative stress
high throughput
cell death
cell proliferation
dna methylation
machine learning
big data
copy number
deep learning