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MCI-frcnn: A deep learning method for topological micro-domain boundary detection.
Tian, Simon Zhongyuan; Yin, Pengfei; Jing, Kai; Yang, Yang; Xu, Yewen; Huang, Guangyu; Ning, Duo; Fullwood, Melissa J; Zheng, Meizhen.
Afiliação
  • Tian SZ; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
  • Yin P; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
  • Jing K; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
  • Yang Y; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
  • Xu Y; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
  • Huang G; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
  • Ning D; Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
  • Fullwood MJ; School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
  • Zheng M; Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
Front Cell Dev Biol ; 10: 1050769, 2022.
Article em En | MEDLINE | ID: mdl-36531953
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Cell Dev Biol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Cell Dev Biol Ano de publicação: 2022 Tipo de documento: Article