
Current Research Interest
Dr. Fei’s research interests are in the development of compositional data analysis methods for high-dimensional microbiome data, prediction modeling methods with multi-modal data integration, and latent class analysis methods for longitudinal and time-to-event data. Dr. Fei collaborates closely with the Marcel van den Brink Lab (City of Hope), the Jonathan Peled Lab, the Roni Shouval Lab (the Precision Cellular Therapy Laboratory), the Molecular Microbiology Facility, and the Division of Hematologic Malignancies in supporting microbiome, multi-modal and complex clinical data analysis, and developing novel methods to address the gaps between existing tools and challenging research questions. Dr. Fei developed highly accessed open-source R packages, including tidycmprsk for competing risks data analysis, scBatch for batch effect adjustment of RNA-seq data, and FLORAL for high-dimensional variable selection of microbial features.
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.
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Teng Fei discloses the following relationships and financial interests:
No disclosures meeting criteria for time period
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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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