Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio
Feature selection in high dimensional gene expression datasets not only reduces the dimension of the data, but also the execution time and computational cost of the underlying classifier. The current study introduces a novel feature selection method called weighted signal to noise ratio (WSNR) by ex...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2023-01-01
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128961/?tool=EBI |