Ordinalbayes: Fitting Ordinal Bayesian Regression Models to High-Dimensional Data Using R.

ABSTRACT: The stage of cancer is a discrete ordinal response that indicates the aggressiveness of disease and is often used by physicians to determine the type and intensity of treatment to be administered. For example, the FIGO stage in cervical cancer is based on the size and depth of the tumor as well as the level of spread. It may be of clinical relevance to identify molecular features from high-throughput genomic assays that are associated with the stage of cervical cancer to elucidate pathways related to tumor aggressiveness, identify improved molecular features that may be useful for staging, and identify therapeutic targets. High-throughput RNA-Seq data and corresponding clinical data (including stage) for cervical cancer patients have been made available through The Cancer Genome Atlas Proj

SUBMITTER: Archer KJ 

PROVIDER: S-EPMC9097970 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature