GENTLE: a novel bioinformatics tool for generating features and building classifiers from T cell repertoire cancer data.

ABSTRACT:

Background

In the global effort to discover biomarkers for cancer prognosis, prediction tools have become essential resources. TCR (T cell receptor) repertoires contain important features that differentiate healthy controls from cancer patients or differentiate outcomes for patients being treated with different drugs. Considering, tools that can easily and quickly generate and identify important features out of TCR repertoire data and build accurate classifiers to predict future outcomes are essential.

Results

This paper introduces GENTLE (GENerator of T cell receptor repertoire features for machine LEarning): an open-source, user-friendly web-application tool that allows TCR repertoire researchers to discover important features; to create classifier models and evaluate them

SUBMITTER: Andrade DS 

PROVIDER: S-EPMC9885559 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature