A novel approach presents to recognize promoter sequences using supervised learning algorithms. For the proposed approach was possible to recognize correctly more than 95% of the tested cases, the cases were previously labeled as promoter and non-promoter sequences, from a genomic database.
Machine learning Algorithms applied to Genetic Promoter Sequences Recognition
2020-11-01
246566 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Genetic Algorithms Applied to Weight Optimization
British Library Conference Proceedings | 2007
|Genetic Algorithms Applied on Route Optimization
SAE Technical Papers | 1999
|Propeller optimization by interactive genetic algorithms and machine learning
Taylor & Francis Verlag | 2023
|Automated Activity Recognition with Gait Positions Using Machine Learning Algorithms
BASE | 2019
|Selectionist relaxation: genetic algorithms applied to image segmentation
British Library Online Contents | 1999
|