Your browser doesn't support javascript.
loading
Prediction of the cell-type-specific transcription of non-coding RNAs from genome sequences via machine learning.
Koido, Masaru; Hon, Chung-Chau; Koyama, Satoshi; Kawaji, Hideya; Murakawa, Yasuhiro; Ishigaki, Kazuyoshi; Ito, Kaoru; Sese, Jun; Parrish, Nicholas F; Kamatani, Yoichiro; Carninci, Piero; Terao, Chikashi.
Affiliation
  • Koido M; Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Hon CC; Division of Molecular Pathology, Department of Cancer Biology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Koyama S; Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
  • Kawaji H; Laboratory for Genome Information Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Murakawa Y; Laboratory for Cardiovascular Genomics and Informatics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Ishigaki K; Preventive Medicine and Applied Genomics Unit, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Ito K; Research Center for Genome & Medical Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
  • Sese J; RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Parrish NF; IFOM ETS - The AIRC Institute of Molecular Oncology, Milan, Italy.
  • Kamatani Y; Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan.
  • Carninci P; Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
  • Terao C; Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Nat Biomed Eng ; 7(6): 830-844, 2023 06.
Article in En | MEDLINE | ID: mdl-36411359
Subject(s)
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Untranslated / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nat Biomed Eng Year: 2023 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: RNA, Untranslated / Genome-Wide Association Study Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nat Biomed Eng Year: 2023 Document type: Article