Denoiseit: denoising gene expression data using rank based isolation trees.

ABSTRACT:

Background

Selecting informative genes or eliminating uninformative ones before any downstream gene expression analysis is a standard task with great impact on the results. A carefully curated gene set significantly enhances the likelihood of identifying meaningful biomarkers.

Method

In contrast to the conventional forward gene search methods that focus on selecting highly informative genes, we propose a backward search method, DenoiseIt, that aims to remove potential outlier genes yielding a robust gene set with reduced noise. The gene set constructed by DenoiseIt is expected to capture biologically significant genes while pruning irrelevant ones to the greatest extent possible. Therefore, it also enhances the quality of downstream comparative gene expression analysis. Deno

SUBMITTER: Jeon J 

PROVIDER: S-EPMC11340143 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature