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Material Type: Artigo
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An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairsKibble, Milla ; Khan, Suleiman A. ; Ammad-ud-din, Muhammad ; Bollepalli, Sailalitha ; Palviainen, Teemu ; Kaprio, Jaakko ; Pietiläinen, Kirsi H. ; Ollikainen, MiinaRoyal Society open science, 2020-10, Vol.7 (10), p.200872-200872 [Periódico revisado por pares]The Royal SocietyTexto completo disponível |
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Material Type: Artigo
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Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation SystemMuhammad Ammad-ud-din ; Ivannikova, Elena ; Khan, Suleiman A ; Were Oyomno ; Fu, Qiang ; Tan, Kuan Eeik ; Flanagan, AdrianarXiv.org, 2019-01Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data SetsMicallef, Luana ; Sundin, Iiris ; Marttinen, Pekka ; Muhammad Ammad-ud-din ; Peltola, Tomi ; Soare, Marta ; Jacucci, Giulio ; Kaski, SamuelarXiv.org, 2017-01Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |
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Material Type: Artigo
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Drug response prediction by inferring pathway-response associations with Kernelized Bayesian Matrix FactorizationMuhammad Ammad-ud-din ; Khan, Suleiman A ; Malani, Disha ; Murumägi, Astrid ; Kallioniemi, Olli ; Aittokallio, Tero ; Kaski, SamuelarXiv.org, 2016-06Ithaca: Cornell University Library, arXiv.orgTexto completo disponível |