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Kun Liang

Normalization of ChIP-seq data with control
2012 · Kun Liang, Sündüz Keleş · BMC Bioinformatics · 112
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Brief Report: CXCL10 Is a Possible Biomarker for the Development of Psoriatic Arthritis Among Patients With Psoriasis
2016 · Fatima Abji, Remy A. Pollock, et al. · Arthritis & Rheumatology · 100
Detecting differential binding of transcription factors with ChIP-seq
2011 · Kun Liang, Sündüz Keleş · Bioinformatics · 90
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Discovering Transcription Factor Binding Sites in Highly Repetitive Regions of Genomes with Multi-Read Analysis of ChIP-Seq Data
2011 · Dongjun Chung, Pei Fen Kuan, et al. · PLoS Computational Biology · 89
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Quantitative tandem mass-spectrometry of skin tissue reveals putative psoriatic arthritis biomarkers
2015 · Daniela Cretu, Kun Liang, et al. · Clinical Proteomics · 84
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Differentiating Psoriatic Arthritis From Psoriasis Without Psoriatic Arthritis Using Novel Serum Biomarkers
2017 · Daniela Cretu, Lisa Gao, et al. · Arthritis Care & Research · 71
Adaptive and Dynamic Adaptive Procedures for False Discovery Rate Control and Estimation
2011 · Kun Liang, Dan Nettleton · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 53
Regulation of WNT Signaling by VSX2 During Optic Vesicle Patterning in Human Induced Pluripotent Stem Cells
2016 · Elizabeth E. Capowski, Lynda S. Wright, et al. · Stem Cells · 49
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Gene Expression Differences between Psoriasis Patients with and without Inflammatory Arthritis
2014 · Remy A. Pollock, Fatima Abji, et al. · Journal of Investigative Dermatology · 48
Differential gene and protein expression of chemokines and cytokines in synovial fluid of patients with arthritis
2016 · Anastasiya Muntyanu, Fatima Abji, et al. · Arthritis Research & Therapy · 32
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Statistical Analysis of ChIP-seq Data with MOSAiCS
2013 · Guannan Sun, Dongjun Chung, et al. · Methods in molecular biology · 28
A Hidden Markov Model Approach to Testing Multiple Hypotheses on a Tree-Transformed Gene Ontology Graph
2010 · Kun Liang, Dan Nettleton · Journal of the American Statistical Association · 26
False Discovery Rate Estimation for Large-Scale Homogeneous Discretep-Values
2015 · Kun Liang · Biometrics · 23
Adaptive and dynamic adaptive procedures for false discovery rate control and estimation
2012 · Kun Liang, Dan Nettleton · Journal of the Royal Statistical Society Series A (Statistics in Society) · 21
Elucidating the endogenous synovial fluid proteome and peptidome of inflammatory arthritis using label-free mass spectrometry
2019 · Shalini M. Mahendran, Edward C. Keystone, et al. · Clinical Proteomics · 20
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Lin28a maintains a subset of adult muscle stem cells in an embryonic-like state
2023 · Peng Wang, Xupeng Liu, et al. · Cell Research · 17
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Th17 gene expression in psoriatic arthritis synovial fluid and peripheral blood compared to osteoarthritis and cutaneous psoriasis.
2018 · Fatima Abji, Remy A Pollock, et al. · PubMed · 16
Dynamic adaptive procedures that control the false discovery rate
2019 · Peter W. MacDonald, Kun Liang, et al. · Electronic Journal of Statistics · 11
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A powerful procedure that controls the false discovery rate with directional information
2020 · Zhaoyang Tian, Kun Liang, et al. · Biometrics · 6
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Empirical Bayes analysis of RNA sequencing experiments with auxiliary information
2019 · Kun Liang · The Annals of Applied Statistics · 5
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A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets
2018 · Kun Liang, Chuanlong Du, et al. · BMC Bioinformatics · 3
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Unraveling endometriosis-associated ovarian carcinomas using integrative proteomics
2018 · Felix Leung, Marcus Q. Bernardini, et al. · F1000Research · 3
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A Hidden Markov Model Approach to Testing Multiple Hypotheses on a Gene Ontology Graph
2009 · Kun Liang, Dan Nettleton · 3
Maximum multinomial likelihood estimation in compound mixture model with application to malaria study
2021 · Zhaoyang Tian, Kun Liang, et al. · Journal of nonparametric statistics · 2
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Fri0570 Identification of Osteopontin/secreted Phosphoprotein 1 as a Biomarker for Psoriatic Arthritis
2020 · F. Abji, R. Machhar, et al. · Annals of the Rheumatic Diseases · 2
Works count: 32
Citation count: 916
H-index: 16
I10-index: 18
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