iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides

Title
iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides
Authors
Keywords
Bitter peptide, Scoring card method, Propensity score, Interpretable model, Machine learning, Classification
Journal
GENOMICS
Volume 112, Issue 4, Pages 2813-2822
Publisher
Elsevier BV
Online
2020-03-28
DOI
10.1016/j.ygeno.2020.03.019

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now