ASAP-SML: An antibody sequence analysis pipeline using statistical testing and machine learning

Title
ASAP-SML: An antibody sequence analysis pipeline using statistical testing and machine learning
Authors
Keywords
Sequence motif analysis, Sequence analysis, Sequence databases, Decision trees, Antibodies, Machine learning, Comparative sequence analysis, Sequence alignment
Journal
PLoS Computational Biology
Volume 16, Issue 4, Pages e1007779
Publisher
Public Library of Science (PLoS)
Online
2020-04-28
DOI
10.1371/journal.pcbi.1007779

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started