AnnoFly: annotating Drosophila embryonic images based on an attention-enhanced RNN model.

Yang, Yang; Zhou, Mingyu; Fang, Qingwei; Shen, Hong-Bin

Yang, Yang; Zhou, Mingyu; Fang, Qingwei; Shen, Hong-Bin.

Afiliação

Yang Y; Center for Brain-Like Computing and Machine Intelligence, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Zhou M; Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai, China.
Fang Q; Center for Brain-Like Computing and Machine Intelligence, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shen HB; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.

Bioinformatics ; 35(16): 2834-2842, 2019 08 15.

Article em En | MEDLINE | ID: mdl-30601935

Assuntos

Biologia Computacional; Drosophila melanogaster; Animais; Atenção; Expressão Gênica; Perfilação da Expressão Gênica; Software

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Drosophila melanogaster Limite: Animals Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

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