Corrigendum: DeepCarc: Deep learning-powered carcinogenicity prediction using model-level representation.

Li, Ting; Tong, Weida; Roberts, Ruth; Liu, Zhichao; Thakkar, Shraddha

Li, Ting; Tong, Weida; Roberts, Ruth; Liu, Zhichao; Thakkar, Shraddha.

Afiliação

Li T; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, United States.
Tong W; University of Arkansas at Little Rock and University of Arkansas for Medical Sciences Joint Bioinformatics Program, Little Rock, AR, United States.
Roberts R; Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, AR, United States.
Liu Z; ApconiX Ltd., Alderley Edge, United Kingdom.
Thakkar S; Department of Biosciences, University of Birmingham, Birmingham, United Kingdom.

Front Artif Intell ; 5: 1046668, 2022.

Article em En | MEDLINE | ID: mdl-36518910

Palavras-chave

NCTRlcdb; QSAR; carcinogenicity; deep learning; non-animal models

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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