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Table 3 Comparisons with the state-of-the-art methods on independent datasets

From: DeepHLAPred: a deep learning-based method for non-classical HLA binder prediction

Datasets

DeepHLAPred

HLAncPred

MHCflurry 2.0

NetMHCpan 4.1

SN

SP

ACC

MCC

SN

SP

ACC

MCC

SN

SP

ACC

MCC

SN

SP

ACC

MCC

HLA-E*01:01

0.7195

0.8780

0.7988

0.6052

0.5854

0.9268

0.7561

0.5449

0.2804

0.9634

0.6220

0.3339

0.4756

0.9390

0.7073

0.4679

HLA-E*01:03

0.9402

0.8507

0.8955

0.7942

0.9552

0.8358

0.8955

0.7967

0.1493

0.9552

0.5522

0.1765

0.3880

0.9851

0.6866

0.4651