SETE: Sequence-based Ensemble learning approach for TCR Epitope binding prediction

Yao Tong
Yao Tong
Xuanping Zhang
Xuanping Zhang
Xiao Xiao
Xiao Xiao
Xin Lai
Xin Lai
Xiang Liu
Xiang Liu

Computational Biology and Chemistry, pp. 1072812020.

WOS EI
Other Links: pubmed.ncbi.nlm.nih.gov|dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Abstract:

Predicting the binding of T cell receptors (TCRs) to epitopes plays a vital role in the immunotherapy, because it guides the development of therapeutic vaccines and cancer treatments. Many prediction methods attempted to explain the relationship between TCR repertoires from different aspects such as the V(D)J gene locus and the biophysica...More

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