| An integrated clinical program and crowdsourcing strategy for genomic sequencing and Mendelian disease gene discovery A Haghighi, JB Krier, A Toth-Petroczy, CA Cassa, NY Frank, ... NPJ genomic medicine 3 (1), 21, 2018 | 23 | 2018 |
| A model for cancer tissue heterogeneity AK Mohanty, A Datta, V Venkatraj IEEE Transactions on Biomedical Engineering 61 (3), 966-974, 2013 | 21 | 2013 |
| A conjugate exponential model for cancer tissue heterogeneity AK Mohanty, A Datta, V Venkatraj IEEE Journal of Biomedical and Health Informatics 20 (2), 699-709, 2015 | 6 | 2015 |
| novoCaller: a Bayesian network approach for de novo variant calling from pedigree and population sequence data AK Mohanty, D Vuzman, L Francioli, C Cassa, ... Bioinformatics 35 (7), 1174-1180, 2019 | 4 | 2019 |
| A Bayesian approach to determine the composition of heterogeneous cancer tissue A Katiyar, A Mohanty, C Sima, J Hua, R Lopes, A Datta, ML Bittner Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 4 | 2017 |
| Using the message passing algorithm on discrete data to detect faults in boolean regulatory networks AK Mohanty, A Datta, V Venkatraj Algorithms for Molecular Biology 9 (1), 1-12, 2014 | 2 | 2014 |
| Determining the relative prevalence of different subpopulations in heterogeneous cancer tissue AK Mohanty, A Datta, J Venkatraj Proceedings 2012 IEEE International Workshop on Genomic Signal Processing …, 2012 | 2 | 2012 |
| A Parallelizable Model for Analyzing Cancer Tissue Heterogeneity A Chaudhuri, AK Mohanty, M Satpathy IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | | 2021 |
| Bayesian Models for Gene Regulatory Networks Applied to Cancer Tissues AK Mohanty | | 2015 |
| On the modeling of heterogeneity in cancer tissue AK Mohanty, A Datta, J Venkatraj 2013 IEEE Global Conference on Signal and Information Processing, 93-93, 2013 | | 2013 |
