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

Andrade, Dhiego Souto; Terrematte, Patrick; Rennó-Costa, César; Zilberberg, Alona; Efroni, Sol

Andrade, Dhiego Souto; Terrematte, Patrick; Rennó-Costa, César; Zilberberg, Alona; Efroni, Sol.

Afiliação

Andrade DS; Bioinformatics Multidisciplinary Environment (BioME), Metropole Digital Institute (IMD), Federal University of Rio Grande Do Norte (UFRN), Natal, 59078-970, Brazil. dhiego@systemsbiomed.org.
Terrematte P; Bioinformatics Multidisciplinary Environment (BioME), Metropole Digital Institute (IMD), Federal University of Rio Grande Do Norte (UFRN), Natal, 59078-970, Brazil.
Rennó-Costa C; Bioinformatics Multidisciplinary Environment (BioME), Metropole Digital Institute (IMD), Federal University of Rio Grande Do Norte (UFRN), Natal, 59078-970, Brazil.
Zilberberg A; The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.
Efroni S; The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel.

BMC Bioinformatics ; 24(1): 32, 2023 Jan 30.

Article em En | MEDLINE | ID: mdl-36717789

Assuntos

Neoplasias da Mama; Linfócitos T; Humanos; Feminino; Receptores de Antígenos de Linfócitos T/genética; Software; Aprendizado de Máquina

Palavras-chave

Feature selection; Machine learning tools; T cell receptor repertoire

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Linfócitos T Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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