Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.

Li, Fuyi; Chen, Jinxiang; Ge, Zongyuan; Wen, Ya; Yue, Yanwei; Hayashida, Morihiro; Baggag, Abdelkader; Bensmail, Halima; Song, Jiangning

Li, Fuyi; Chen, Jinxiang; Ge, Zongyuan; Wen, Ya; Yue, Yanwei; Hayashida, Morihiro; Baggag, Abdelkader; Bensmail, Halima; Song, Jiangning.

Afiliação

Li F; Northwest A&F University, China.
Chen J; Department of Biochemistry and Molecular Biology and the Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Australia.
Ge Z; Biomedicine Discovery Institute and the Department of Biochemistry and Molecular Biology, Monash University from the College of Information Engineering, Northwest A&F University, China.
Wen Y; Monash University and also serves as a Deep Learning Specialist at NVIDIA AI Technology Centre. Before joining Monash, he was a research scientist at IBM Research Australia doing research in medical AI during 2016-2018. His research interests are AI, computer vision, medical image, robotics and deep
Yue Y; computer technology from Ningxia University, China.
Hayashida M; medical science from Southern Medical University, China.
Baggag A; informatics from Kyoto University, Japan, in 2005. He is an Assistant Professor in the Department of Electrical Engineering and Computer Science, National Institute of Technology, Matsue College, Japan.
Bensmail H; computer science from the University of Minnesota. He is a Senior Scientist at the Qatar Computing Research Institute (QCRI) and has a joint appointment as an Associate Professor at Hamad Bin Khalifa University (HBKU) in the Division of Information and Computing Technology. His research interests in
Song J; University of Pierre & Marie Currie (Paris 6) in France. She is currently a Principal Scientist at QCRI-HBKU and a joint Associate Professor at the College of Computer and Science Engineering, HBKU.

Brief Bioinform ; 22(2): 2126-2140, 2021 03 22.

Article em En | MEDLINE | ID: mdl-32363397

Assuntos

Escherichia coli/genética; Aprendizado de Máquina; Regiões Promotoras Genéticas; Conjuntos de Dados como Assunto; Genes Bacterianos; Reprodutibilidade dos Testes

Palavras-chave

bioinformatics; machine learning; model interpretability; promoters; sequence analysis; stacking strategy

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Regiões Promotoras Genéticas / Escherichia coli / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google