DeepNup: Prediction of Nucleosome Positioning from DNA Sequences Using Deep Neural Network.

Zhou, Yiting; Wu, Tingfang; Jiang, Yelu; Li, Yan; Li, Kailong; Quan, Lijun; Lyu, Qiang

Zhou, Yiting; Wu, Tingfang; Jiang, Yelu; Li, Yan; Li, Kailong; Quan, Lijun; Lyu, Qiang.

Afiliação

Zhou Y; School of Computer Science and Technology, Soochow University, Suzhou Ganjiang East Streat 333, Suzhou 215006, China.
Wu T; School of Computer Science and Technology, Soochow University, Suzhou Ganjiang East Streat 333, Suzhou 215006, China.
Jiang Y; Key Lab for Information Processing Technologies, Soochow University, Suzhou Ganjiang East Streat 333, Suzhou 215006, China.
Li Y; Collaborative Innovation Center of Novel Software Technology and Industrialization, Organization, Nanjing 210000, China.
Li K; School of Computer Science and Technology, Soochow University, Suzhou Ganjiang East Streat 333, Suzhou 215006, China.
Quan L; School of Computer Science and Technology, Soochow University, Suzhou Ganjiang East Streat 333, Suzhou 215006, China.
Lyu Q; School of Computer Science and Technology, Soochow University, Suzhou Ganjiang East Streat 333, Suzhou 215006, China.

Genes (Basel) ; 13(11)2022 10 30.

Article em En | MEDLINE | ID: mdl-36360220

Assuntos

Nucleossomos; Saccharomyces cerevisiae; Nucleossomos/genética; Nucleossomos/metabolismo; Sequência de Bases; Saccharomyces cerevisiae/genética; Montagem e Desmontagem da Cromatina; Redes Neurais de Computação

Palavras-chave

bioinformatics; deep learning; gated recurrent unit; multiscale convolution neural network; nucleosome positioning

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Saccharomyces cerevisiae / Nucleossomos Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Genes (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google