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Interpretable deep recommender system model for prediction of kinase inhibitor efficacy across cancer cell lines.
Koras, Krzysztof; Kizling, Ewa; Juraeva, Dilafruz; Staub, Eike; Szczurek, Ewa.
Affiliation
  • Koras K; Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland.
  • Kizling E; Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland.
  • Juraeva D; Oncology Bioinformatics, Translational Medicine, Merck Healthcare KGaA, Darmstadt, Germany.
  • Staub E; Oncology Bioinformatics, Translational Medicine, Merck Healthcare KGaA, Darmstadt, Germany.
  • Szczurek E; Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Warsaw, Poland. szczurek@mimuw.edu.pl.
Sci Rep ; 11(1): 15993, 2021 08 06.
Article in En | MEDLINE | ID: mdl-34362938
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Full text: 1 Database: MEDLINE Main subject: Algorithms / Biomarkers, Tumor / Gene Expression Regulation, Neoplastic / Protein Kinase Inhibitors / Deep Learning / Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Type: Article Affiliation country: Poland
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Algorithms / Biomarkers, Tumor / Gene Expression Regulation, Neoplastic / Protein Kinase Inhibitors / Deep Learning / Neoplasms Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Sci Rep Year: 2021 Type: Article Affiliation country: Poland