| Molecular mechanisms and function prediction of long noncoding RNA H Ma, Y Hao, X Dong, Q Gong, J Chen, J Zhang, W Tian The Scientific World Journal 2012 (1), 541786, 2012 | 145 | 2012 |
| Silencing c-Myc translation as a therapeutic strategy through targeting PI3Kδ and CK1ε in hematological malignancies C Deng, MR Lipstein, L Scotto, XO Jirau Serrano, MA Mangone, S Li, ... Blood, The Journal of the American Society of Hematology 129 (1), 88-99, 2017 | 135 | 2017 |
| LEGO: a novel method for gene set over-representation analysis by incorporating network-based gene weights X Dong, Y Hao, X Wang, W Tian Scientific reports 6 (1), 18871, 2016 | 51 | 2016 |
| Decomposition of phenotypic heterogeneity in autism reveals underlying genetic programs A Litman, N Sauerwald, L Green Snyder, J Foss-Feig, CY Park, Y Hao, ... Nature Genetics 57 (7), 1611-1619, 2025 | 40 | 2025 |
| The Alzheimer’s knowledge base: a knowledge graph for Alzheimer disease research JD Romano, V Truong, R Kumar, M Venkatesan, BE Graham, Y Hao, ... Journal of Medical Internet Research 26, e46777, 2024 | 38 | 2024 |
| Knowledge-guided deep learning models of drug toxicity improve interpretation Y Hao, JD Romano, JH Moore Patterns 3 (9), 2022 | 37 | 2022 |
| Atomic dynamic functional interaction patterns for characterization of ADHD J Ou, Z Lian, L Xie, X Li, P Wang, Y Hao, D Zhu, R Jiang, Y Wang, Y Chen, ... Human brain mapping 35 (10), 5262-5278, 2014 | 36 | 2014 |
| Automating predictive toxicology using ComptoxAI JD Romano, Y Hao, JH Moore, TM Penning Chemical research in toxicology 35 (8), 1370-1382, 2022 | 27 | 2022 |
| Predicting G protein-coupled receptor downstream signaling by tissue expression Y Hao, NP Tatonetti Bioinformatics 32 (22), 3435-3443, 2016 | 23 | 2016 |
| Deep learning sequence models for transcriptional regulation K Sokolova, KM Chen, Y Hao, J Zhou, OG Troyanskaya Annual Review of Genomics and Human Genetics 25 (1), 105-122, 2024 | 21 | 2024 |
| Improving QSAR modeling for predictive toxicology using publicly aggregated semantic graph data and graph neural networks JD Romano, Y Hao, JH Moore Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 27, 187, 2022 | 18 | 2022 |
| Tissue‐Specific Analysis of Pharmacological Pathways Y Hao, K Quinnies, R Realubit, C Karan, NP Tatonetti CPT: Pharmacometrics & Systems Pharmacology 7 (7), 453-463, 2018 | 14 | 2018 |
| Hetnet connectivity search provides rapid insights into how biomedical entities are related DS Himmelstein, M Zietz, V Rubinetti, K Kloster, BJ Heil, F Alquaddoomi, ... GigaScience 12, giad047, 2023 | 12 | 2023 |
| TargetTox: a feature selection pipeline for identifying predictive targets associated with drug toxicity Y Hao, JH Moore Journal of Chemical Information and Modeling 61 (11), 5386-5394, 2021 | 9 | 2021 |
| Knowledge graph aids comprehensive explanation of drug and chemical toxicity Y Hao, JD Romano, JH Moore CPT: Pharmacometrics & Systems Pharmacology 12 (8), 1072-1079, 2023 | 6 | 2023 |
| Dynamic network partition via Bayesian connectivity bi-partition change point model Z Lian, X Li, T Young, Y Hao, J Xing, J Lv, X Jiang, D Zhu, T Liu, J Zhang 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 545-548, 2014 | 3 | 2014 |
| Predicting negative control drugs to support research in drug safety Y Hao, NP Tatonetti bioRxiv, 380832, 2018 | 2 | 2018 |
| Decomposition of phenotypic heterogeneity in autism reveals distinct and coherent genetic programs A Litman, N Sauerwald, LAG Snyder, J Foss-Feig, CY Park, Y Hao, ... medRxiv, 2024 | | 2024 |
| KNOWLEDGE GRAPH AIDS COMPREHENSIVE EXPLANATION OF DRUG TOXICITY Y Hao, JD Romano, JH Moore bioRxiv, 2022.10. 07.511348, 2022 | | 2022 |
| Predicting the Toxicity of Druggable Proteins to Human Tissues Y Hao, P Thangaraj, NP Tatonetti bioRxiv, 2021.12. 07.471637, 2021 | | 2021 |
