High-order neural networks and kernel methods for peptide-MHC binding prediction

By Pavel P. Kuksa, Martin Renqiang Min, Rishabh Dugar, Mark Gerstein. 2015

35 citations recorded by the source corpus.

Subfields: Microbiology, Molecular Biology

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In Molecular Biology

1. Victor E. Velculescu
2. Rachel Karchin

Citations in the corpus

• Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins (2017, methodology): “Approaches have included sequence-based profiles [8] [9], structure-based predictions [10], generative probabilistic models [11], and machine learning [12] [13] [14].”