Jin Liu
Jin Liu
School of Data Science, Chinese University of Hong Kong (Shenzhen)
Adresă de e-mail confirmată pe cuhk.edu.cn - Pagina de pornire
Citat de
Citat de
Genomic landscape of lung adenocarcinoma in East Asians
J Chen, H Yang, ASM Teo, LB Amer, FG Sherbaf, CQ Tan, JJS Alvarez, ...
Nature Genetics 52 (2), 177-186, 2020
Prognostic value of CD8+ PD-1+ immune infiltrates and PDCD1 gene expression in triple negative breast cancer
TKY Yeong, Joe and Lim, Jeffrey Chun Tatt and Lee, Bernett and Li, Huihua ...
Journal for immunotherapy of cancer 7 (1), 34, 2019
Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies
Z Yuan, H Zhu, P Zeng, S Yang, S Sun, C Yang, J Liu, X Zhou
Nature communications 11 (1), 3861, 2020
Multiplex immunohistochemistry/immunofluorescence (mIHC/IF) for PD-L1 testing in triple-negative breast cancer: a translational assay compared with conventional IHC
J Yeong, T Tan, ZL Chow, Q Cheng, B Lee, A Seet, JX Lim, JCT Lim, ...
Journal of Clinical Pathology 73 (9), 557-562, 2020
Identification of gene–environment interactions in cancer studies using penalization
J Liu, J Huang, Y Zhang, Q Lan, N Rothman, T Zheng, S Ma
Genomics 102 (4), 189-194, 2013
Incorporating group correlations in genome-wide association studies using smoothed group Lasso
J Liu, J Huang, S Ma, K Wang
Biostatistics 14 (2), 205-219, 2012
Integrating omics data
G Tseng, D Ghosh, XJ Zhou
Cambridge University Press, 2015
A unified primal dual active set algorithm for nonconvex sparse recovery
J Huang, Y Jiao, B Jin, J Liu, X Lu, C Yang
Statistical Science 36 (2), 215-238, 2021
Integrative analysis of cancer diagnosis studies with composite penalization
J Liu, S Ma, J Huang
Scandinavian Journal of Statistics 41 (1), 87-103, 2014
SC-MEB: spatial clustering with hidden Markov random field using empirical Bayes
Y Yang, X Shi, W Liu, Q Zhou, M Chan Lau, J Chun Tatt Lim, L Sun, ...
Briefings in bioinformatics 23 (1), bbab466, 2022
Integrative analysis of ‘‐omics’ data using penalty functions
Q Zhao, X Shi, J Huang, J Liu, Y Li, S Ma
Wiley Interdisciplinary Reviews: Computational Statistics 7 (1), 99-108, 2015
CoMM: a collaborative mixed model to dissecting genetic contributions to complex traits by leveraging regulatory information
C Yang, X Wan, X Lin, M Chen, X Zhou, J Liu
Bioinformatics 35 (10), 1644-1652, 2019
Accounting for linkage disequilibrium in genome-wide association studies: a penalized regression method
J Liu, K Wang, S Ma, J Huang
Statistics and Its Interface 6 (1), 99 – 115, 2013
Differentially co-expressed genes in postmortem prefrontal cortex of individuals with alcohol use disorders: influence on alcohol metabolism-related pathways
H Zhang, F Wang, H Xu, Y Liu, J Liu, H Zhao, J Gelernter
Human Genetics 133 (11), 1383-1394, 2014
Bayesian weighted Mendelian randomization for causal inference based on summary statistics
J Zhao, J Ming, X Hu, G Chen, J Liu, C Yang
Bioinformatics 36 (5), 1501-1508, 2020
Canonical variate regression
C Luo, J Liu, DK Dey, K Chen
Biostatistics 17 (3), 468-483, 2016
Metabolomic profile of arterial stiffness in aged adults
AS Koh, F Gao, J Liu, KT Fridianto, J Ching, RS Tan, JI Wong, SJM Chua, ...
Diabetes and Vascular Disease Research 15 (1), 74-80, 2018
A penalized robust method for identifying gene–environment interactions
X Shi, J Liu, J Huang, Y Zhou, Y Xie, S Ma
Genetic Epidemiology 38 (3), 220-230, 2014
MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropy
Q Cheng, Y Yang, X Shi, KF Yeung, C Yang, H Peng, J Liu
NAR Genomics and Bioinformatics 2 (2), lqaa028, 2020
CoMM-S2: a collaborative mixed model using summary statistics in transcriptome-wide association studies
Y Yang, X Shi, Y Jiao, J Huang, M Chen, X Zhou, L Sun, X Lin, C Yang, ...
Bioinformatics 36 (7), 2009-2016, 2020
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