Muhammad Ammad-ud-din
Muhammad Ammad-ud-din
Cofounder & CTO at Comparables AI
Verified email at - Homepage
Cited by
Cited by
A community effort to assess and improve drug sensitivity prediction algorithms
JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ...
Nature biotechnology 32 (12), 1202-1212, 2014
Federated collaborative filtering for privacy-preserving personalized recommendation system
M Ammad-Ud-Din, E Ivannikova, SA Khan, W Oyomno, Q Fu, KE Tan, ...
arXiv preprint arXiv:1901.09888, 2019
Prediction of human population responses to toxic compounds by a collaborative competition
F Eduati, LM Mangravite, T Wang, H Tang, JC Bare, R Huang, T Norman, ...
Nature biotechnology 33 (9), 933-940, 2015
Integrative and personalized QSAR analysis in cancer by kernelized Bayesian matrix factorization
M Ammad-Ud-Din, E Georgii, M Gonen, T Laitinen, O Kallioniemi, ...
Journal of chemical information and modeling 54 (8), 2347-2359, 2014
Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization
M Ammad-Ud-Din, SA Khan, D Malani, A Murumägi, O Kallioniemi, ...
Bioinformatics 32 (17), i455-i463, 2016
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
SK Sieberts, F Zhu, J García-García, E Stahl, A Pratap, G Pandey, ...
Nature communications 7 (1), 12460, 2016
Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression
M Ammad-Ud-Din, SA Khan, K Wennerberg, T Aittokallio
Bioinformatics 33 (14), i359-i368, 2017
Federated multi-view matrix factorization for personalized recommendations
A Flanagan, W Oyomno, A Grigorievskiy, KE Tan, SA Khan, ...
In: Hutter F., Kersting K., Lijffijt J., Valera I. (eds) Machine Learning …, 2021
GFA: exploratory analysis of multiple data sources with group factor analysis
E LeppÃĪaho, S Kaski
Journal of Machine Learning Research 18 (39), 1-5, 2017
A payload optimization method for federated recommender systems
FK Khan, A Flanagan, KE Tan, Z Alamgir, M Ammad-Ud-Din
Proceedings of the 15th ACM Conference on Recommender Systems, 432-442, 2021
Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia
BS White, SA Khan, MJ Mason, M Ammad-Ud-Din, S Potdar, D Malani, ...
NPJ precision oncology 5 (1), 71, 2021
Interactive elicitation of knowledge on feature relevance improves predictions in small data sets
L Micallef, I Sundin, P Marttinen, M Ammad-Ud-Din, T Peltola, M Soare, ...
Proceedings of the 22nd International Conference on Intelligent User …, 2017
Modeling public sentiments about JUUL flavors on Twitter through machine learning
A Malik, MI Khan, H Karbasian, M Nieminen, M Ammad-Ud-Din, SA Khan
Nicotine and Tobacco Research 23 (11), 1869-1879, 2021
Regression with n→ 1 by expert knowledge elicitation
M Soare, M Ammad-Ud-Din, S Kaski
2016 15th IEEE International Conference on Machine Learning and Applications …, 2016
NC I DREA M Community, JJ Collins, D
JC Costello, LM Heiser, E Georgii, M Gönen, MP Menden, NJ Wang, ...
Gallahan, D. Singer, J. Saez-Rodriguez, S. Kaski, JW Gray, and G …, 2014
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
M Kibble, SA Khan, M Ammad-Ud-Din, S Bollepalli, T Palviainen, J Kaprio, ...
Royal Society open science 7 (10), 200872, 2020
tensorBF: an R package for Bayesian tensor factorization
SA Khan, M Ammad-ud-din
bioRxiv, 097048, 2016
Comparative Analysis of independent ex vivo functional drug screens identifies predictive biomarkers of BCL-2 inhibitor response in AML
BS White, SA Khan, S Potdar, MJ Mason, CE Tognon, BJ Druker, ...
Blood 132, 2763, 2018
Expanding the Utility of Midostaurin in Acute Myeloid Leukemia-Predictive Mutational Signatures in Patient Samples without FLT3 mutations and Clinically Applicable Synergistic …
M Vaha-Koskela, K Siivola, T Ruokoranta, L Turunen, K Porkka, ...
Blood 132, 2743, 2018
Machine learning methods for improving drug response prediction in cancer
M Ammad-ud-din
Aalto University, 2017
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