| Gene architecture directs splicing outcome in separate nuclear spatial regions L Tammer, O Hameiri, I Keydar, VR Roy, A Ashkenazy-Titelman, ... Molecular Cell 82 (5), 1021-1034. e8, 2022 | 50 | 2022 |
| Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer YA Kim, D Wojtowicz, R Sarto Basso, I Sason, W Robinson, ... Genome medicine 12, 1-12, 2020 | 25 | 2020 |
| Hidden Markov models lead to higher resolution maps of mutation signature activity in cancer D Wojtowicz, I Sason, X Huang, YA Kim, MDM Leiserson, TM Przytycka, ... Genome medicine 11, 1-12, 2019 | 23 | 2019 |
| A mixture model for signature discovery from sparse mutation data I Sason, Y Chen, MDM Leiserson, R Sharan Genome medicine 13, 1-12, 2021 | 15 | 2021 |
| An automated approach for determining the number of components in non-negative matrix factorization with application to mutational signature learning G Gilad, I Sason, R Sharan Machine Learning: Science and Technology 2 (1), 015013, 2020 | 6 | 2020 |
| A sticky multinomial mixture model of strand-coordinated mutational processes in cancer I Sason, D Wojtowicz, W Robinson, MDM Leiserson, TM Przytycka, ... Iscience 23 (3), 2020 | 5 | 2020 |
| Hidden Markov Models Lead to Higher Resolution Maps of Mutation Signature Activity in Cancer X Huang, I Sason, D Wojtowicz, YA Kim, MDM Leiserson, TM Przytycka, ... bioRxiv, 392639, 2018 | 2 | 2018 |
| A Biterm Topic Model for Sparse Mutation Data I Sason, Y Chen, MDM Leiserson, R Sharan Cancers 15 (5), 1601, 2023 | | 2023 |
| A Biterm Topic Model for Sparse Mutation Data. Cancers 2023, 15, 1601 I Sason, Y Chen, MDM Leiserson, R Sharan | | 2023 |
