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

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 t...

Full description

Bibliographic Details
Main Authors: Dhiego Souto Andrade, Patrick Terrematte, César Rennó-Costa, Alona Zilberberg, Sol Efroni
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Bioinformatics
Subjects:
T cell receptor repertoire
Feature selection
Machine learning tools
Online Access:https://doi.org/10.1186/s12859-023-05155-w

Internet

https://doi.org/10.1186/s12859-023-05155-w

Similar Items