| Predicting RNA-seq coverage from DNA sequence as a unifying model of gene regulation J Linder, D Srivastava, H Yuan, V Agarwal, DR Kelley Nature Genetics, 1-13, 2025 | 55 | 2025 |
| Differential abilities to engage inaccessible chromatin diversify vertebrate HOX binding patterns M Bulajić, D Srivastava, JS Dasen, H Wichterle, S Mahony, EO Mazzoni Development 147 (22), 2020 | 54 | 2020 |
| Sequence and chromatin determinants of transcription factor binding and the establishment of cell type-specific binding patterns D Srivastava, S Mahony Biochimica et Biophysica Acta (BBA)-Gene Regulatory Mechanisms 1863 (6), 194443, 2020 | 50 | 2020 |
| An interpretable bimodal neural network characterizes the sequence and preexisting chromatin predictors of induced transcription factor binding D Srivastava, B Aydin, EO Mazzoni, S Mahony Genome biology 22, 1-25, 2021 | 27* | 2021 |
| Domain-adaptive neural networks improve cross-species prediction of transcription factor binding K Cochran, D Srivastava, A Shrikumar, A Balsubramani, RC Hardison, ... Genome research 32 (3), 512-523, 2022 | 25 | 2022 |
| GenoPipe: identifying the genotype of origin within (epi) genomic datasets OW Lang, D Srivastava, BF Pugh, WKM Lai Nucleic Acids Research 51 (22), 12054-12068, 2023 | 1 | 2023 |
| Computational Methods For Characterizing The Sequence And Chromatin Determinants Of Transcription Factor Binding D Srivastava Pennsylvania State University, 2021 | | 2021 |
| The people behind the papers-Milica Bulajic, Divyanshi Srivastava, Esteban Mazzoni and Shaun Mahony M Bulajic, D Srivastava, E Mazzoni, S Mahony DEVELOPMENT 147 (22), 2020 | | 2020 |
