Xinjun Wang, PhD

Assistant Attending Biostatistician
Epidemiology & Biostatistics
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Xinjun Wang, PhD

Assistant Attending Biostatistician
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Xinjun Wang

Email

[email protected]

Education

University of Pittsburgh

Current Research Interest 

Dr Wang’s research areas focus on omics data analysis with special interests in single-cell multi-omics data and driver gene identification through mutual exclusivity. He is also interested in the analysis of spatial transcriptomics data, especially integrated with single-cell data (e.g., scRNA-seq). Dr Wang is now working on projects from InterMEL and Break Through Cancer-GBM. He also collaborates with investigators within MSK for the analysis of single-cell data.

Publications

  1. Wang, X, Xu Z, Zhou X, Zhang Y, Lafyatis R, Chen K, Huang H, Ding Y, Duerr R, Chen W. SECANT: a biology-guided semi-supervised method for clustering, classification, and annotation of single-cell multi-omics. PNAS Nexus. 2022 Sep; 1(4):pgab165 .
  2. Xu Z, Wang X, Fan L, Wang F, Wang J, Chen W, Chen K. Integrative Analysis of Spatial Transcriptome with Single-cell Transcriptome and Single-cell Epigenome in Mice Lungs after Immunization. iScience. 2022 Sep 16;25(9):104900.
  3. Wei Y, Wang, X, Chew EY, Ding Y. Confident identification of subgroups from SNP testing in RCTs with binary outcomes. Biometrical Journal. 2022 Feb;64(2)256-71.
  4. Xin H, Lian Q, Jiang Y, Luo J, Wang, X, Erb C, Xu Z, Zhang X, Heidrich-O’Hare E, Yan Q, Duerr RH. GMM-Demux: sample demultiplexing, multiplet detection, experiment planning, and novel cell-type verification in single cell sequencing. Genome biology. 2020 Dec;21(1):1-35.
  5. Wang, X, Sun Z, Zhang Y, Xu Z, Xin H, Huang H, Duerr RH, Chen K, Ding Y, Chen W. BREM-SC: a bayesian random effects mixture model for joint clustering single cell multi-omics data. Nucleic acids research. 2020 Jun 19;48(11):5814-24.

Disclosures

Doctors and faculty members often work with pharmaceutical, device, biotechnology, and life sciences companies, and other organizations outside of MSK, to find safe and effective cancer treatments, to improve patient care, and to educate the health care community.

MSK requires doctors and faculty members to report (“disclose”) the relationships and financial interests they have with external entities. As a commitment to transparency with our community, we make that information available to the public.

Xinjun Wang discloses the following relationships and financial interests:

No disclosures meeting criteria for time period


The information published here is a complement to other publicly reported data and is for a specific annual disclosure period. There may be differences between information on this and other public sites as a result of different reporting periods and/or the various ways relationships and financial interests are categorized by organizations that publish such data.

This page and data include information for a specific MSK annual disclosure period (January 1, 2023 through disclosure submission in spring 2024). This data reflects interests that may or may not still exist. This data is updated annually.

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