Research Fellow at Mayo Clinic
I am interested in understanding autoimmune diseases (e.g., rheumatoid arthritis, vasculitis) from large-scale omics datasets and clinical data; and designing applications from such data for unmet clinical needs. To reach my goal, I am utilizing network-based methodologies and developing new in silico tools. Currently, I am working on a project involving a comprehensive multi-omics analysis aiming to understand the differences between different RA subtypes (i.e., ACPA-positive, ACPA-negative) and to identify diagnostic biomarkers for ACPA-negative RA patients.
Education
Talk & Presentation
OCTOBER 12-15, SAN ANTONIO, TX
MAY 21 (Virtual)
APRIL 3–6 (Virtual)
NOVEMBER 6 (Virtual)
OCTOBER 6–9, Orlando, FL
AUGUST 17 (Virtual)
Recent Publications
Global Transcriptomic Profiling Identifies Differential Gene Expression Signatures between Inflammatory and Non‐inflammatory Aortic Aneurysms
Arthritis & Rheumatology
Adenosine A2A receptor blockade prevents cisplatin-induced impairments in neurogenesis and cognitive function
Proceedings of the National Academy of Sciences
Gut microbial determinants of clinically important improvement in patients with rheumatoid arthritis
Genome medicine
Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity
Arthritis research & therapy
Venn-diaNet : Venn diagram based network propagation analysis framework for comparing multiple biological experiments
(GIW2019 Accepted) BMC Bioinformatics
CLIP-GENE: a web service of the condition specific context-laid integrative analysis for gene prioritization in mouse TF KO experiments
Biology Direct 2017, https://doi.org/10.1186/s13062-016-0158-x
Protein interaction network (PIN)-based breast cancer subsystem identification and activation measurement for prognostic modeling
Methods 2016, https://doi.org/10.1016/j.ymeth.2016.06.015
Information theoretic sub-network mining characterizes breast cancer subtypes in terms of cancer core mechanisms
Journal of Bioinformatics and Computational Biology, 2016 https://doi.org/10.1142/S0219720016440029
RDDpred: a condition-specific RNA-editing prediction model from RNA-seq data.
BMC Genomics, 2016 https://doi.org/10.1186/s12864-015-2301-y
Zbtb7c is a molecular 'off' and 'on' switch of Mmp gene transcription.
Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms 2016, https://doi.org/10.1016/j.bbagrm.2016.09.004
Combined analysis for GRN and SNV information enhances identification of potential gene markers in mouse knockout studies with small number of samples.
BMC Medical Genomics 2015, https://dx.doi.org/10.1186%2F1755-8794-8-S2-S10