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Jie Liu
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Year
Jointly embedding multiple single-cell omics measurements
J Liu, Y Huang, R Singh, JP Vert, WS Noble
Algorithms in bioinformatics:... International Workshop, WABI …, 2019
1202019
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
872020
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
862008
Unsupervised embedding of single-cell Hi-C data
J Liu, D Lin, GG Yardımcı, WS Noble
Bioinformatics 34 (13), i96-i104, 2018
722018
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
452007
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
422015
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
392023
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 624 (7992), 621, 2023
38*2023
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
382019
Multiple testing under dependence via graphical models
J Liu, C Zhang, D Page
The Annals of Applied Statistics 10 (3), 1699-1724, 2016
302016
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
272012
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
262016
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
252022
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
232020
A generalizable framework to comprehensively predict epigenome, chromatin organization, and transcriptome
Z Zhang, F Feng, Y Qiu, J Liu
Nucleic Acids Research 51 (12), 5931-5947, 2023
212023
Deciphering the impact of genomic variation on function
Code of Conduct Committee (alphabetical by last name) Cody Sarah 33 Farrell ...
Nature 633 (8028), 47-57, 2024
20*2024
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
192021
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
192014
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
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
152016
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Articles 1–20