Unknown

Dataset Information

CoMI: consensus mutual information for tissue-specific gene signatures.


ABSTRACT:

Background

The gene signatures have been considered as a promising early diagnosis and prognostic analysis to identify disease subtypes and to determine subsequent treatments. Tissue-specific gene signatures of a specific disease are an emergency requirement for precision medicine to improve the accuracy and reduce the side effects. Currently, many approaches have been proposed for identifying gene signatures for diagnosis and prognostic. However, they often lack of tissue-specific gene signatures.

Results

Here, we propose a new method, consensus mutual information (CoMI) for analyzing omics data and discovering gene signatures. CoMI can identify differentially expressed genes in multiple cancer omics data for reflecting both cancer-related and tissue-specific signatures, su

SUBMITTER: Huang SH 

PROVIDER: S-EPMC9019939 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature