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

wangx11@mskcc.org

Education

University of Pittsburgh

Current Research Interest 

Dr. Wang’s research focuses on omics data analysis, with a particular interest in single-cell multi-omics, spatial omics, and genetic alteration data. His current methodological research projects include 1) the identification of driver events through somatic alteration data, and 2) the integration of single-cell spatial omics data. Dr. Wang also collaborates with scientific investigators at MSK to explore various biological mechanisms (e.g., anti-tumor immune responses, lineage plasticity, and senescence) across different tumor types using multi-omics approaches.

Publications

  1. Hu H, Wang X, Feng S, Xu Z, Liu J, Heidrich-O’Hare E, Chen Y, Yue M, Zeng L, Rong Z, Chen T. A unified model-based framework for doublet or multiplet detection in single-cell multiomics data. Nature Communications. 2024 Jul 2;15(1):5562.
  2. Zhao C, Xu Z, Wang X, Tao S, MacDonald WA, He K, Poholek AC, Chen K, Huang H, Chen W. Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression. Briefings in Bioinformatics. 2024 Mar 1;25(2):bbae052.
  3. Wang X, Kostrzewa C, Reiner A, Shen R, Begg C. Adaptation of a mutual exclusivity framework to identify driver mutations within oncogenic pathways. The American Journal of Human Genetics. 2024 Feb 1;111(2):227-41.
  4. Wang X, Xu Z, Hu H, Zhou X, Zhang Y, Lafyatis R, Chen K, Huang H, Ding Y, Duerr RH, 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):pgac165.
  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.

Learn more about MSK’s COI policies here. For questions regarding MSK’s COI-related policies and procedures, email MSK’s Compliance Office at ecoi@mskcc.org.


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