This paper is in the following e-collection/theme issue:

Genome Analysis and Visualization (13) Machine Learning (1401) Tools, Programs and Algorithms (246) Artificial Intelligence (1216) Clinical Information and Decision Making (1340)

Published on in Vol 3, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://www.biorxiv.org/content/10.1101/2021.03.19.435772v1, first published .
Prediction of Antibody-Antigen Binding via Machine Learning: Development of Data Sets and Evaluation of Methods

Prediction of Antibody-Antigen Binding via Machine Learning: Development of Data Sets and Evaluation of Methods

Prediction of Antibody-Antigen Binding via Machine Learning: Development of Data Sets and Evaluation of Methods

Authors of this article:

Chao Ye1 Author Orcid Image ;   Wenxing Hu2 Author Orcid Image ;   Bruno Gaeta1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Chao Ye   1 , MIS ;   Wenxing Hu   2 , MIT ;   Bruno Gaeta   1 , PhD

1 School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia

2 Department of Computer Science, School of Information Science and Technology, Tokyo Institute of Technology, Tokyo, Japan

Corresponding Author:

  • Bruno Gaeta, PhD
  • School of Computer Science and Engineering
  • The University of New South Wales
  • Computer Science Building (K17)
  • Engineering Rd, UNSW
  • Sydney, 2052
  • Australia
  • Phone: 61 293857213
  • Email: bgaeta@unsw.edu.au