Optimal subset selection of primary sequence features using the genetic algorithm for thermophilic proteins identification

Title
Optimal subset selection of primary sequence features using the genetic algorithm for thermophilic proteins identification
Authors
Keywords
Feature selection, Genetic algorithm, g-gap dipeptide, Multiple linear regression, Protein thermostability
Journal
BIOTECHNOLOGY LETTERS
Volume 36, Issue 10, Pages 1963-1969
Publisher
Springer Nature
Online
2014-06-19
DOI
10.1007/s10529-014-1577-3

Ask authors/readers for more resources

Reprint

Contact the author

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

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started