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

Mar 31, 2021 , 4:00pm - 5:00pm
Department of Mathematics and Statistics
Admission Fees

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


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March 31, 2021
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