Your browser doesn't support javascript.
loading
DeepGenGrep: a general deep learning-based predictor for multiple genomic signals and regions.
Liu, Quanzhong; Fang, Honglin; Wang, Xiao; Wang, Miao; Li, Shuqin; Coin, Lachlan J M; Li, Fuyi; Song, Jiangning.
Affiliation
  • Liu Q; Department of Software Engineering, College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Fang H; Department of Software Engineering, College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Wang X; Department of Software Engineering, College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Wang M; Department of Software Engineering, College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Li S; Department of Software Engineering, College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Coin LJM; Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC 3000, Australia.
  • Li F; Department of Software Engineering, College of Information Engineering, Northwest A&F University, Yangling 712100, China.
  • Song J; Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne, VIC 3000, Australia.
Bioinformatics ; 38(17): 4053-4061, 2022 09 02.
Article in En | MEDLINE | ID: mdl-35799358
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: China Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Animals Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: China Country of publication: United kingdom