Gene selection and classification in microarray datasets using a hybrid approach of PCC-BPSO/GA with multi classifiers
In this study, a three-phase hybrid approach is proposed for the selection and classification of high dimensional microarray data. The method uses Pearson's Correlation Coefficient (PCC) in combination with Binary Particle Swarm Optimization (BPSO) or Genetic Algorithm (GA) along with various c...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Science Publications
2018
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/79937/1/RohayantiHassan2018_GeneSelectionandClassificationinMicroarray.880 http://eprints.utm.my/id/eprint/79937/ http://dx.doi.org/10.3844/jcssp.2018.868.880 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|