| Reports from the fifth edition of CAGI: The Critical Assessment of Genome Interpretation G Andreoletti, LR Pal, J Moult, SE Brenner Human mutation 40 (9), 1197-1201, 2019 | 56 | 2019 |
| Integration of multiple epigenomic marks improves prediction of variant impact in saturation mutagenesis reporter assay D Shigaki, O Adato, AN Adhikari, S Dong, A Hawkins‐Hooker, F Inoue, ... Human mutation 40 (9), 1280-1291, 2019 | 54 | 2019 |
| Enhancer predictions and genome-wide regulatory circuits MA Beer, D Shigaki, D Huangfu Annual review of genomics and human genetics 21 (1), 37-54, 2020 | 31 | 2020 |
| Dynamic network-guided CRISPRi screen identifies CTCF-loop-constrained nonlinear enhancer gene regulatory activity during cell state transitions R Luo, J Yan, JW Oh, W Xi, D Shigaki, W Wong, HS Cho, D Murphy, ... Nature genetics 55 (8), 1336-1346, 2023 | 29* | 2023 |
| Regulatory enhancer profiling of mesenchymal-type gastric cancer reveals subtype-specific epigenomic landscapes and targetable vulnerabilities SWT Ho, T Sheng, M Xing, WF Ooi, C Xu, R Sundar, KK Huang, Z Li, ... Gut 72 (2), 226-241, 2023 | 29 | 2023 |
| CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods Genome biology 25 (1), 53, 2024 | 24 | 2024 |
| The impact of genomic variation on function (IGVF) consortium IGVF Consortium ArXiv, 2023 | 9 | 2023 |
| Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer M Razavi-Mohseni, W Huang, YA Guo, D Shigaki, SWT Ho, P Tan, ... Genome research 34 (5), 680-695, 2024 | 4 | 2024 |
| Learning the sequence determinants of mammalian transcriptional gene regulation across cell-types DT Shigaki Johns Hopkins University, 2024 | 1 | 2024 |
| Machine Learning Sequence Modeling Identifies Gene Regulatory Responses to Bone Marrow Stromal Interactions in Multiple Myeloma M Razavi-Mohseni, D Shigaki, MA Beer Blood 142, 4144, 2023 | 1 | 2023 |
