| Jointly embedding multiple single-cell omics measurements J Liu, Y Huang, R Singh, JP Vert, WS Noble Algorithms in bioinformatics:... International Workshop, WABI …, 2019 | 105 | 2019 |
| Meta-prediction of phosphorylation sites with weighted voting and restricted grid search parameter selection J Wan, S Kang, C Tang, J Yan, Y Ren, J Liu, X Gao, A Banerjee, LBM Ellis, ... Nucleic acids research 36 (4), e22-e22, 2008 | 86 | 2008 |
| Capturing cell type-specific chromatin compartment patterns by applying topic modeling to single-cell Hi-C data HJ Kim, GG Yardımcı, G Bonora, V Ramani, J Liu, R Qiu, C Lee, J Hesson, ... PLoS Computational Biology 16 (9), e1008173, 2020 | 75 | 2020 |
| Unsupervised embedding of single-cell Hi-C data J Liu, D Lin, GG Yardımcı, WS Noble Bioinformatics 34 (13), i96-i104, 2018 | 62 | 2018 |
| Meta-prediction of protein subcellular localization with reduced voting J Liu, S Kang, C Tang, LBM Ellis, T Li Nucleic acids research 35 (15), e96, 2007 | 45 | 2007 |
| Machine learning for treatment assignment: Improving individualized risk attribution J Weiss, F Kuusisto, K Boyd, J Liu, D Page AMIA Annual Symposium Proceedings 2015, 1306, 2015 | 39 | 2015 |
| Systematic proteomics of endogenous human cohesin reveals an interaction with diverse splicing factors and RNA-binding proteins required for mitotic progression JS Kim, X He, J Liu, Z Duan, T Kim, J Gerard, B Kim, MM Pillai, WS Lane, ... Journal of Biological Chemistry 294 (22), 8760-8772, 2019 | 30 | 2019 |
| Multiple testing under dependence via graphical models J Liu, C Zhang, D Page The Annals of Applied Statistics 10 (3), 1699-1724, 2016 | 29 | 2016 |
| Graphical-model based multiple testing under dependence, with applications to genome-wide association studies J Liu, P Peissig, C Zhang, E Burnside, C McCarty, D Page Uncertainty in artificial intelligence: proceedings of the... conference …, 2012 | 27 | 2012 |
| Structure-Leveraged Methods in Breast Cancer Risk Prediction J Fan, Y Wu, M Yuan, D Page, J Liu, IM Ong, P Peissig, E Burnside Journal of Machine Learning Research 17 (85), 1-15, 2016 | 22 | 2016 |
| Connecting high-resolution 3D chromatin organization with epigenomics F Feng, Y Yao, XQD Wang, X Zhang, J Liu Nature Communications 13 (1), 1-10, 2022 | 21 | 2022 |
| GenomicKB: a knowledge graph for the human genome F Feng, F Tang, Y Gao, D Zhu, T Li, S Yang, Y Yao, Y Huang, J Liu Nucleic Acids Research 51 (D1), D950-D956, 2023 | 19 | 2023 |
| New genetic variants improve personalized breast cancer diagnosis J Liu, D Page, P Peissig, C McCarty, AA Onitilo, A Trentham-Dietz, ... AMIA Summits on Translational Science Proceedings 2014, 83-89, 2014 | 19 | 2014 |
| Genetic Variants Improve Breast Cancer Risk Prediction on Mammograms Jie Liu, David Page, Houssam Nassif, Jude Shavlik, Peggy Peissig, Catherine ... AMIA Annual Symposium Proceedings 2013, 2013 | 19* | 2013 |
| p53 Integrates Temporal WDR5 Inputs during Neuroectoderm and Mesoderm Differentiation of Mouse Embryonic Stem Cells Q Li, F Mao, B Zhou, Y Huang, Z Zou, J Xu, S Hou, J Liu, Y Dou, RC Rao Cell Reports 30 (2), 465-480. e6, 2020 | 18 | 2020 |
| Mapping the regulatory landscape of auditory hair cells from single-cell multi-omics data S Wang, MP Lee, S Jones, J Liu, J Waldhaus Genome Research 31 (10), 1885-1899, 2021 | 15 | 2021 |
| Comparing mammography abnormality features to genetic variants in the prediction of breast cancer in women recommended for breast biopsy ES Burnside, J Liu, Y Wu, AA Onitilo, CA McCarty, CD Page, PL Peissig, ... Academic radiology 23 (1), 62-69, 2016 | 15 | 2016 |
| Genetic risk converges on regulatory networks mediating early type 2 diabetes. JT Walker, DC Saunders, V Rai, HH Chen, P Orchard, C Dai, YD Pettway, ... Nature, 2023 | 13* | 2023 |
| Stochastic learning for sparse discrete Markov random fields with controlled gradient approximation error S Geng, Z Kuang, J Liu, S Wright, D Page Uncertainty in artificial intelligence: proceedings of the... conference …, 2018 | 12 | 2018 |
| Bayesian estimation of latently-grouped parameters in undirected graphical models J Liu, D Page Advances in neural information processing systems, 1232-1240, 2013 | 12 | 2013 |
