| Prediction of interactions between HIV-1 and human proteins by information integration O Tastan, Y Qi, JG Carbonell, J Klein-Seetharaman Pacific Symposium on Biocomputing 2009, 516-527, 2009 | 182 | 2009 |
| Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins Y Qi, O Tastan, JG Carbonell, J Klein-Seetharaman, J Weston Bioinformatics 26 (18), i645-i652, 2010 | 152 | 2010 |
| Integromic analysis of genetic variation and gene expression identifies networks for cardiovascular disease phenotypes C Yao, BH Chen, R Joehanes, B Otlu, X Zhang, C Liu, T Huan, O Tastan, ... Circulation 131 (6), 536-549, 2015 | 67 | 2015 |
| MatchMaker: a deep learning framework for drug synergy prediction HI Kuru, O Tastan, AE Cicek IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 45 | 2021 |
| Human immunodeficiency virus type 1 Vpr: oligomerization is an essential feature for its incorporation into virus particles NJ Venkatachari, LA Walker, O Tastan, T Le, TM Dempsey, Y Li, ... Virology journal 7, 1-11, 2010 | 45 | 2010 |
| An inference attack on genomic data using kinship, complex correlations, and phenotype information I Deznabi, M Mobayen, N Jafari, O Tastan, E Ayday IEEE/ACM transactions on computational biology and bioinformatics 15 (4 …, 2017 | 44 | 2017 |
| Distinct regulation of tonsillar immune response in virus infection T Jartti, O Palomares, M Waris, O Tastan, R Nieminen, T Puhakka, ... Allergy 69 (5), 658-667, 2014 | 44 | 2014 |
| Discovering lncRNA Mediated Sponge Interactions in Breast Cancer Molecular Subtypes G Olgun, O Sahin, O Tastan BMC Genomics, 209015, 2018 | 41 | 2018 |
| The effect of loops on the structural organization of α-helical membrane proteins O Tastan, J Klein-Seetharaman, H Meirovitch Biophysical journal 96 (6), 2299-2312, 2009 | 32 | 2009 |
| Comparison of Stability Predictions and Simulated Unfolding of Rhodopsin Structures† O Tastan, E Yu, M Ganapathiraju, A Aref, AJ Rader, J Klein‐Seetharaman Photochemistry and photobiology 83 (2), 351-363, 2007 | 32 | 2007 |
| Retinal proteins as model systems for membrane protein folding O Tastan, A Dutta, P Booth, J Klein-Seetharaman Biochimica et Biophysica Acta (BBA)-Bioenergetics 1837 (5), 656-663, 2014 | 27 | 2014 |
| Alternative paths in HIV-1 targeted human signal transduction pathways S Balakrishnan, O Tastan, J Carbonell, J Klein-Seetharaman BMC genomics 10, 1-13, 2009 | 27 | 2009 |
| DeepSide: a deep learning approach for drug side effect prediction OC Uner, HI Kuru, RG Cinbis, O Tastan, AE Cicek IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (1 …, 2022 | 25* | 2022 |
| PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering YI Tepeli, AB Ünal, FM Akdemir, O Tastan Bioinformatics 36 (21), 5237-5246, 2020 | 25 | 2020 |
| Comparison of virus interactions with human signal transduction pathways I Singh, O Tastan, J Klein-Seetharaman Proceedings of the First ACM International Conference on Bioinformatics and …, 2010 | 25* | 2010 |
| DeepKinZero: Zero-Shot Learning for Predicting Kinase-Phosphosite Associations Involving Understudied Kinases I Deznabi, B Arabaci, M Koyutürk, O Tastan Bioinformatics, 670638, 2020 | 24 | 2020 |
| A utility maximizing and privacy preserving approach for protecting kinship in genomic databases G Kale, E Ayday, O Tastan Bioinformatics 34 (2), 181-189, 2018 | 17 | 2018 |
| GLANET: genomic loci annotation and enrichment tool B Otlu, C Firtina, S Keleş, O Tastan Bioinformatics 33 (18), 2818-2828, 2017 | 17 | 2017 |
| Spadis: An algorithm for selecting predictive and diverse snps in gwas S Yilmaz, O Tastan, AE Cicek IEEE/ACM transactions on computational biology and bioinformatics 18 (3 …, 2019 | 10 | 2019 |
| Refining literature curated protein interactions using expert opinions O Tastan, Y Qi, JG Carbonell, J Klein-Seetharaman Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 318-329, 2014 | 8 | 2014 |
Judith Klein-SeetharamanArizona State UniversityVerified email at asu.edu
