Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Abstract excerpt

Cancer progression involves the gradual loss of a differentiated phenotype and acquisition of progenitor and stem-cell-like features. Here, we provide novel stemness indices for assessing the degree of oncogenic dedifferentiation. We used an innovative one-class logistic regression (OCLR) machine-learning algorithm to extract transcriptomic and epigenetic feature sets derived from non-transformed pluripotent stem...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Cancer Genomics and Diagnostics
• Share to Ferroptosis and cancer prognosis
• Share to Single-cell and spatial transcriptomics