| Regularized machine learning in the genetic prediction of complex traits S Okser, T Pahikkala, A Airola, T Salakoski, S Ripatti, T Aittokallio PLoS genetics 10 (11), e1004754, 2014 | 172 | 2014 |
| Genetic variants and their interactions in disease risk prediction–machine learning and network perspectives S Okser, T Pahikkala, T Aittokallio BioData mining 6, 1-16, 2013 | 69 | 2013 |
| Genetic variants and their interactions in the prediction of increased pre-clinical carotid atherosclerosis: the cardiovascular risk in young Finns study S Okser, T Lehtimäki, LL Elo, N Mononen, N Peltonen, M Kähönen, ... PLoS genetics 6 (9), e1001146, 2010 | 53 | 2010 |
| Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations T Pahikkala, S Okser, A Airola, T Salakoski, T Aittokallio Algorithms for Molecular Biology 7, 1-15, 2012 | 41 | 2012 |
| Fast and parallelized greedy forward selection of genetic variants in Genome-wide association studies S Okser, T Pahikkala, A Airola, T Aittokallio, T Salakoski 2011 IEEE International Workshop on Genomic Signal Processing and Statistics …, 2011 | 2 | 2011 |
| Scalable Feature Selection Applications for Genome-Wide Association Studies of Complex Diseases S Okser TUCS Dissertations No 201, 2015 | | 2015 |
| Parallel feature selection for regularized least-squares S Okser, A Airola, T Aittokallio, T Salakoski, T Pahikkala Applied Parallel and Scientific Computing: 11th International Conference …, 2013 | | 2013 |
| Genetic Variants and Their Interactions in the Prediction of Increased Pre-Clinical S Okser, T Lehtimäki, LL Elo, N Mononen, N Peltonen | | 2010 |
