Ontology highlight
ABSTRACT: Background
Somatic alterations in cancer cause dysregulation of signaling pathways that control cell-cycle progression, apoptosis, and cell growth. The effect of individual alterations in these pathways differs between individual tumors and tumor types. Recognizing driver events is a complex task requiring integrating multiple molecular data, including genomics, epigenomics, and functional genomics. A common hypothesis is that these driver events share similar effects on the hallmarks of cancer. The availability of large-scale multi-omics studies allows for inferring these common effects from data. Once these effects are known, one can then deconvolve in every individual patient whether a given genomics alteration is a driver event.Methods
Here, we develop a novel data-driv
SUBMITTER: Simeone I
PROVIDER: S-EPMC9885701 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature