Conditional transcriptional relationships may serve as cancer prognostic markers.

ABSTRACT:

Background

While most differential coexpression (DC) methods are bound to quantify a single correlation value for a gene pair across multiple samples, a newly devised approach under the name Correlation by Individual Level Product (CILP) revolutionarily projects the summary correlation value to individual product correlation values for separate samples. CILP greatly widened DC analysis opportunities by allowing integration of non-compromised statistical methods.

Methods

Here, we performed a study to verify our hypothesis that conditional relationships, i.e., gene pairs of remarkable differential coexpression, may be sought as quantitative prognostic markers for human cancers. Alongside the seeking of prognostic gene links in a pan-cancer setting, we also examined whether a t

SUBMITTER: Yu H 

PROVIDER: S-EPMC8638091 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature