| 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 | 497 | 2014 |
| Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open … The Lancet Oncology, 2016 | 106* | 2016 |
| 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 | 94 | 2015 |
| Kernelized Bayesian matrix factorization M Gonen, SA Khan, S Kaski Proceedings of The 30th International Conference on Machine Learning 28, 864-872, 2013 | 92 | 2013 |
| Bayesian group factor analysis S Virtanen, A Klami, S Khan, S Kaski Artificial Intelligence and Statistics, 1269-1277, 2012 | 84 | 2012 |
| Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 1-17, 2019 | 78 | 2019 |
| 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), 1-10, 2016 | 71 | 2016 |
| Discovery of novel drug sensitivities in T-PLL by high-throughput ex vivo drug testing and mutation profiling EI Andersson, S Pützer, B Yadav, O Dufva, S Khan, L He, L Sellner, ... Leukemia 32 (3), 774-787, 2018 | 55 | 2018 |
| 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 | 45 | 2016 |
| Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis SA Khan, S Virtanen, OP Kallioniemi, K Wennerberg, A Poso, S Kaski Bioinformatics 30 (17), i497-i504, 2014 | 41 | 2014 |
| Drug target commons: a community effort to build a consensus knowledge base for drug-target interactions J Tang, B Ravikumar, Z Alam, A Rebane, M Vähä-Koskela, G Peddinti, ... Cell chemical biology 25 (2), 224-229. e2, 2018 | 40 | 2018 |
| 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 | 38 | 2017 |
| Bayesian multi-view tensor factorization SA Khan, S Kaski Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014 | 33 | 2014 |
| Bayesian multi-tensor factorization SA Khan, E Leppäaho, S Kaski Machine Learning 105 (2), 233-253, 2016 | 30 | 2016 |
| Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach M Ali, SA Khan, K Wennerberg, T Aittokallio Bioinformatics 34 (8), 1353-1362, 2018 | 29 | 2018 |
| Comprehensive data-driven analysis of the impact of chemoinformatic structure on the genome-wide biological response profiles of cancer cells to 1159 drugs SA Khan, A Faisal, JP Mpindi, JA Parkkinen, T Kalliokoski, A Poso, ... BMC bioinformatics 13 (1), 112, 2012 | 28 | 2012 |
| Convex factorization machine for toxicogenomics prediction M Yamada, W Lian, A Goyal, J Chen, K Wimalawarne, SA Khan, S Kaski, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 26* | 2017 |
| Scalable similarity matching in streaming time series A Marascu, SA Khan, T Palpanas Pacific-Asia Conference on Knowledge Discovery and Data Mining, 218-230, 2012 | 19 | 2012 |
| Transcriptional response networks for elucidating mechanisms of action of multitargeted agents M Kibble, SA Khan, N Saarinen, F Iorio, J Saez-Rodriguez, S Mäkelä, ... Drug discovery today 21 (7), 1063-1075, 2016 | 15 | 2016 |
| A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines M Gönen, BA Weir, GS Cowley, F Vazquez, Y Guan, A Jaiswal, ... Cell systems 5 (5), 485-497. e3, 2017 | 14 | 2017 |
Tero AittokallioUniversity of Helsinki, University of Turku, University of OsloVerified email at utu.fi
