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A machine-learning approach for predicting B-cell epitopes

✍ Scribed by Nimrod D. Rubinstein; Itay Mayrose; Tal Pupko

Book ID
116757190
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
663 KB
Volume
46
Category
Article
ISSN
0161-5890

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## Abstract Identification and characterization of antigenic determinants on proteins has received considerable attention utilizing both, experimental as well as computational methods. For computational routines mostly structural as well as physicochemical parameters have been utilized for predicti

Selection and combination of machine lea
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## Abstract Recently, new machine learning classifiers for the prediction of linear B‐cell epitopes were presented. Here we show the application of Receiver Operator Characteristics (ROC) convex hulls to select optimal classifiers as well as possibilities to improve the post test probability (PTP)