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StackTTCA: ML Framework for Tumor T Cell Antigens by uoskay52 is a document available to read on EtoBox.

What is StackTTCA: ML Framework for Tumor T Cell Antigens about?

The study presents StackTTCA, a stacking ensemble learning-based framework designed for the accurate identification of tumor T cell antigens (TTCAs), which are vital for cancer vaccine development. By constructing 156 baseline models using various machine learning algorithms and feature encoding schemes, StackTTCA achieved an impressive accuracy of 0.932, significantly outperforming existing methods. An online web server has also been developed to facilitate high-throughput screening of novel TTCAs, enhanci

Author

uoskay52

Language

EN