Accurate analysis for univariate-based filter methods for microarray data classification
Microarray expression datasets generate a huge number of genes, but only a few genes provide information about cancer diseases. In this context, feature selection approaches have been developed to deal with this problem. Filter-based methods, in particular, select the relevant genes and remove the i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2024-02-01
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| Series: | Journal of Algorithms & Computational Technology |
| Online Access: | https://doi.org/10.1177/17483026241232295 |