Your browser doesn't support javascript.
loading
HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence.
Jin, Wenhao; Brannan, Kristopher W; Kapeli, Katannya; Park, Samuel S; Tan, Hui Qing; Gosztyla, Maya L; Mujumdar, Mayuresh; Ahdout, Joshua; Henroid, Bryce; Rothamel, Katherine; Xiang, Joy S; Wong, Limsoon; Yeo, Gene W.
Afiliação
  • Jin W; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Brannan KW; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Kapeli K; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Park SS; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Tan HQ; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Gosztyla ML; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Mujumdar M; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Ahdout J; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Henroid B; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Rothamel K; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Xiang JS; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.
  • Wong L; Department of Computer Science, National University of Singapore, Singapore, Singapore.
  • Yeo GW; Department of Cellular and Molecular Medicine, University of Califorinia, San Diego, La Jolla, CA, USA; Institute for Genomic Medicine and UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Stem Cell Program, University of California, San Diego, La Jolla, CA, USA. Electr
Mol Cell ; 83(14): 2595-2611.e11, 2023 07 20.
Article em En | MEDLINE | ID: mdl-37421941

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Hydra Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Mol Cell Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Hydra Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Mol Cell Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos