ClassifieR 2.0: expanding interactive gene expression-based stratification to prostate and high-grade serous ovarian cancer.

ABSTRACT:

Background

Advances in transcriptional profiling methods have enabled the discovery of molecular subtypes within and across traditional tissue-based cancer classifications. Such molecular subgroups hold potential for improving patient outcomes by guiding treatment decisions and revealing physiological distinctions and targetable pathways. Computational methods for stratifying transcriptomic data into molecular subgroups are increasingly abundant. However, assigning samples to these subtypes and other transcriptionally inferred predictions is time-consuming and requires significant bioinformatics expertise. To address this need, we recently reported "ClassifieR," a flexible, interactive cloud application for the functional annotation of colorectal and breast cancer transcriptomes. H

SUBMITTER: McCabe A 

PROVIDER: S-EPMC11580654 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature