Explainable AI for Bioinformatics: Methods, Tools and Applications.

Karim, Md Rezaul; Islam, Tanhim; Shajalal, Md; Beyan, Oya; Lange, Christoph; Cochez, Michael; Rebholz-Schuhmann, Dietrich; Decker, Stefan

Karim, Md Rezaul; Islam, Tanhim; Shajalal, Md; Beyan, Oya; Lange, Christoph; Cochez, Michael; Rebholz-Schuhmann, Dietrich; Decker, Stefan.

Afiliação

Karim MR; Computer Science 5 - Information Systems and Databases, RWTH Aachen University, Germany.
Islam T; Department of Data Science and Artificial Intelligence, Fraunhofer FIT, Germany.
Shajalal M; Computer Science 9 - Process and Data Science, RWTH Aachen University, Germany.
Beyan O; University of Siegen, Germany.
Lange C; Computer Science 5 - Information Systems and Databases, RWTH Aachen University, Germany.
Cochez M; University of Cologne, Faculty of Medicine and University Hospital Cologne, Institute for Medical Informatics, Germany.
Rebholz-Schuhmann D; Computer Science 5 - Information Systems and Databases, RWTH Aachen University, Germany.
Decker S; Department of Data Science and Artificial Intelligence, Fraunhofer FIT, Germany.

Brief Bioinform ; 24(5)2023 09 20.

Article em En | MEDLINE | ID: mdl-37478371

Assuntos

Inteligência Artificial; Biologia Computacional; Humanos; Aprendizado de Máquina; Algoritmos; Genômica

Palavras-chave

NLP; bioinformatics; deep learning; explainable AI; interpretable machine learning; machine learning

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google