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Interpretable deep learning for chromatin-informed inference of transcriptional programs driven by somatic alterations across cancers.
Tao, Yifeng; Ma, Xiaojun; Palmer, Drake; Schwartz, Russell; Lu, Xinghua; Osmanbeyoglu, Hatice Ulku.
Affiliation
  • Tao Y; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Ma X; Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Palmer D; UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Schwartz R; UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
  • Lu X; Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA.
  • Osmanbeyoglu HU; Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
Nucleic Acids Res ; 50(19): 10869-10881, 2022 10 28.
Article in En | MEDLINE | ID: mdl-36243974
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning / Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2022 Document type: Article Affiliation country: United States Country of publication: United kingdom