RVAgene: Generative modeling of gene expression time series data R Mitra, AL MacLean Bioinformatics 37 (19), 3252-3262, 2021 | 15 | 2021 |
Tejaas: reverse regression increases power for detecting trans-eQTLs S Banerjee, FL Simonetti, KE Detrois, A Kaphle, R Mitra, R Nagial, ... Genome biology 22 (1), 142, 2021 | 7 | 2021 |
Reverse regression increases power for detecting trans-eQTLs S Banerjee, FL Simonetti, KE Detrois, A Kaphle, R Mitra, R Nagial, ... bioRxiv, 2020.05. 07.083386, 2020 | 4 | 2020 |
Probing the role of the protonation state of a minor groove-linker histidine in Exd-Hox–DNA binding Y Jiang, TP Chiu, R Mitra, R Rohs Biophysical Journal 123 (2), 248-259, 2024 | 2 | 2024 |
Structure-based prediction of protein-nucleic acid binding using graph neural networks JM Sagendorf, R Mitra, J Huang, XS Chen, R Rohs Biophysical Reviews, 1-18, 2024 | | 2024 |
RNAscape: geometric mapping and customizable visualization of RNA structure R Mitra, AS Cohen, R Rohs Nucleic Acids Research, gkae269, 2024 | | 2024 |
PNAbind: Structure-based prediction of protein-nucleic acid binding using graph neural networks JM Sagendorf, R Mitra, J Huang, XS Chen, R Rohs bioRxiv, 2024.02. 27.582387, 2024 | | 2024 |
DeepPBS: Geometric deep learning for interpretable prediction of protein-DNA binding specificity R Mitra, J Li, JM Sagendorf, Y Jiang, TP Chiu, R Rohs bioRxiv, 2023.12. 15.571942, 2023 | | 2023 |