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

Genome Analysis and Visualization (14) New Methods (944) Clinical Informatics (1022) Clinical Information and Decision Making (1407) Data Science (270) Genomics and Bioinformatics for Clinical Use (35)

Published on in Vol 4 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44700, first published .
Secure Comparisons of Single Nucleotide Polymorphisms Using Secure Multiparty Computation: Method Development

Secure Comparisons of Single Nucleotide Polymorphisms Using Secure Multiparty Computation: Method Development

Secure Comparisons of Single Nucleotide Polymorphisms Using Secure Multiparty Computation: Method Development

Authors of this article:

Andrew Woods1, 2 Author Orcid Image ;   Skyler T Kramer2, 3 Author Orcid Image ;   Dong Xu1, 2, 3 Author Orcid Image ;   Wei Jiang1 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Andrew Woods   1, 2 , BSc ;   Skyler T Kramer   2, 3 , BSc ;   Dong Xu   1, 2, 3 , PhD ;   Wei Jiang   1 , PhD

1 Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, United States

2 Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States

3 Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States

Corresponding Author:

  • Dong Xu, PhD
  • Department of Electrical Engineering and Computer Science
  • University of Missouri
  • 227 Naka Hall
  • Columbia, MO, 65211-0001
  • United States
  • Phone: 1 5738822299
  • Email: xudong@missouri.edu