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SSU Math Colloquium Presents: A Comparative Study of Machine Learning Methods on T-Cell Receptor Repertoire Data

  • Sonoma State University 1801 E Cotati Ave Rohnert Park, CA, 94928 United States (map)

This event will not be happening this week as campus is closed in honor, and remembrance of Cesar Chavez.

The Sonoma State University Department of Mathematics and Statistics presents Tao He, San Francisco State University.                                                                                                                          

T cells represent a crucial component of the adaptive immune system. Antigen-specific recognition is realized via T cell receptor (TCR), which is the product of  somatic V(D)J gene recombination, plus some random addition/subtraction of nucleotides at recombination junctions. In this study, we aggregated the clones based on V/J gene segments, which overcomes the limitation and thus can build machine learning models across subjects. Here we presented a comparative study of different feature selection and classification on two multiclass Next-Generation Sequencing TCR repertoire data in cancer studies. We also proposed a novel ensemble of  feature selection and demonstrated the method in simulation studies.

Series supported by Instructionally-Related Activities Funds. For more information about this series, go to www.sonoma.edu/math

Earlier Event: March 31
Housing Drop-In Hours