Skip to main navigation
Skip to search
Skip to main content
The University of Brighton Home
Home
Profiles
Research units
Equipment
Projects
Research output
Activities
Student theses
Search by expertise, name or affiliation
Letter to the editor: a genetic-based algorithm for personalized resistance training
Yannis Pitsiladis, Guan Wang
University of Brighton
Centre for Regenerative Medicine and Devices
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Letter to the editor: a genetic-based algorithm for personalized resistance training'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Associated Genes
50%
Athlete Training
50%
Elite Performance
50%
Exercise Genomics
50%
Exercise Training
50%
Gene Polymorphism
50%
Genetic Algorithm
100%
International Collaboration
50%
Large-scale Initiative
50%
Letters to the Editor
100%
Performance Algorithm
50%
Resistance Training
100%
Sports Genomics
50%
Training Performance
50%
Training Response
50%
Biochemistry, Genetics and Molecular Biology
Assertiveness
50%
Exercise
50%
Gene Polymorphism
50%
Genetics
100%
Genomics
50%
Resistance Training
100%
Computer Science
Algorithm Performance
100%
Paradigm Shift
100%
Replicate Training
100%
Psychology
Resistance Training
100%