Faculty profile
Kun Liang
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Research
Latest papers
A powerful procedure that controls the false discovery rate with directional information.
Biometrics · 2021
Elucidating the endogenous synovial fluid proteome and peptidome of inflammatory arthritis using label-free mass spectrometry.
Clinical proteomics · 2019
Th17 gene expression in psoriatic arthritis synovial fluid and peripheral blood compared to osteoarthritis and cutaneous psoriasis.
Clinical and experimental rheumatology · 2018
Latest funding
- $90,000
Statistical methods for large-scale inference
NSERC · 2020 · Principal investigator
- $96,000
Statistical methods for high-throughput genomics
NSERC · 2013 · Principal investigator
13 publications.
A powerful procedure that controls the false discovery rate with directional information.
Tian Z, Liang K, Li P
Elucidating the endogenous synovial fluid proteome and peptidome of inflammatory arthritis using label-free mass spectrometry.
Mahendran SM, Keystone EC, Krawetz RJ, Liang K, Diamandis EP, Chandran V
Th17 gene expression in psoriatic arthritis synovial fluid and peripheral blood compared to osteoarthritis and cutaneous psoriasis.
Abji F, Pollock RA, Liang K, Chandran V, Gladman DD
A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets.
Liang K, Du C, You H, Nettleton D
Differentiating Psoriatic Arthritis From Psoriasis Without Psoriatic Arthritis Using Novel Serum Biomarkers.
Cretu D, Gao L, Liang K, Soosaipillai A, Diamandis EP, Chandran V
Unraveling endometriosis-associated ovarian carcinomas using integrative proteomics.
Leung F, Bernardini MQ, Liang K, Batruch I, Rouzbahman M, Diamandis EP, Kulasingam V
Differential gene and protein expression of chemokines and cytokines in synovial fluid of patients with arthritis.
Muntyanu A, Abji F, Liang K, Pollock RA, Chandran V, Gladman DD
Brief Report: CXCL10 Is a Possible Biomarker for the Development of Psoriatic Arthritis Among Patients With Psoriasis.
Abji F, Pollock RA, Liang K, Chandran V, Gladman DD
Regulation of WNT Signaling by VSX2 During Optic Vesicle Patterning in Human Induced Pluripotent Stem Cells.
Capowski EE, Wright LS, Liang K, Phillips MJ, Wallace K, Petelinsek A, Hagstrom A, Pinilla I, Borys K, Lien J, Min JH, Keles S, Thomson JA, Gamm DM
False discovery rate estimation for large-scale homogeneous discrete p-values.
Liang K
Statistical methods for large-scale inference
Principal investigators: Liang, Kun
Keywords: multiple testing; statistical genetics; genome-wide association study; bayesian methods; false discovery rate
Statistical methods for high-throughput genomics
Principal investigators: Liang, Kun
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Vinod Chandran and Vathany Kulasingam: 7 shared papers
- Vinod Chandran and Kun Liang: 7 shared papers
- Vinod Chandran and Lisa Gao: 1 shared paper
- Vathany Kulasingam and Kun Liang: 1 shared paper
- Pengfei Li and Kun Liang: 1 shared paper
- Kun Liang and Lisa Gao: 1 shared paper
- Statistics and Actuarial Science
- Rheumatology
- Medicine
Co-authors at University of Waterloo, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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