Prediction of Continuous B-cell Epitopes Using Long Short Term Memory Networks-Reference-Cited by-同舟云学术

Prediction of Continuous B-cell Epitopes Using Long Short Term Memory Networks

Published:2018-03-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 6th International Conference on Bioinformatics and Computational Biology
language:
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Author:

Cheng Bin¹,Liu Ling-yun²,Qi Zhao-hui²,Yang Hong-guang³

Affiliation:

1. Institute of Applied Mathematics, Hebei Academy of Sciences, Hebei Authentication Technology Engineering Research Center, Shijiazhuang, HB, China, Shijiazhuang, Hebei, China

2. College of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Hebei, China

3. Institute of Applied Mathematics, Hebei Academy of Sciences, Shijiazhuang, Hebei, China

Funder

Cooperation Science & Technology program of Hebei Academy of Sciences and Chinese Academy of Sciences

Publisher

ACM

Reference23 articles.

1. What Is a B-Cell Epitope?

2. Positive-unlabeled learning for the prediction of conformational B-cell epitopes

3. A meta-learning approach for B-cell conformational epitope prediction

4. An ensemble method for prediction of conformational B-cell epitopes from antigen sequences

5. The potential of retro-inverso peptides as synthetic vaccines

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