StemnesScoRe: an R package to estimate the stemness of glioma cancer cells at single-cell resolution.

Necla Kochan Yavuz Oktay Gökhan Karakülah

Published in: Turkish journal of biology = Turk biyoloji dergisi (2023)

scATAC-seq can be used to assess heterogeneity in glioblastoma and identify cells with high stemness characteristics. The package is publicly available at https://github.com/Necla/StemnesScoRe and includes documentation with implementation of a real-data experiment.

Keyphrases

single cell
rna seq
stem cells
electronic health record
epithelial mesenchymal transition
induced apoptosis
high throughput
cell cycle arrest
primary care
healthcare
cancer stem cells
big data
quality improvement
signaling pathway
endoplasmic reticulum stress
gene expression
deep learning
machine learning