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Machine learning methods for improving drug response prediction in cancer.

. Aalto University, Espoo, Finland, (2017)base-search.net (ftaaltouniv:oai:aaltodoc.aalto.fi:123456789/27290).

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Munir-ud-Din Ahmed

Aziz Aziz-ud-Din

Gulam Mohy-ud-din Wani

Muhammad Muhammad

Mu ammad Samir Abu-ʾs-Saʿud

 

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Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization., , , , , , и . Bioinform., 32 (17): 455-463 (2016)Integrative and Personalized QSAR Analysis in Cancer by Kernelized Bayesian Matrix Factorization., , , , , , , и . J. Chem. Inf. Model., 54 (8): 2347-2359 (2014)GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis., , и . J. Mach. Learn. Res., (2017)Regression with n$\to$1 by Expert Knowledge Elicitation., , и . CoRR, (2016)Federated Multi-view Matrix Factorization for Personalized Recommendations., , , , , и . ECML/PKDD (2), том 12458 из Lecture Notes in Computer Science, стр. 324-347. Springer, (2020)Regression with n→1 by Expert Knowledge Elicitation., , и . ICMLA, стр. 734-739. IEEE Computer Society, (2016)Machine learning methods for improving drug response prediction in cancer.. Aalto University, Espoo, Finland, (2017)base-search.net (ftaaltouniv:oai:aaltodoc.aalto.fi:123456789/27290).Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression., , , и . Bioinform., 33 (14): i359-i368 (2017)A Payload Optimization Method for Federated Recommender Systems., , , , и . RecSys, стр. 432-442. ACM, (2021)Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets., , , , , , , и . IUI, стр. 547-552. ACM, (2017)