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Machine learning algorithms for T-cell epitopes prediction

✍ Scribed by Loris Nanni

Book ID
113814273
Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
160 KB
Volume
69
Category
Article
ISSN
0925-2312

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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)