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Robust proportional overlapping analysis for feature selection in binary classification within functional genomic experiments
In this paper, a novel feature selection method called Robust Proportional Overlapping Score (RPOS), for microarray gene expression datasets has been proposed, by utilizing the robust measure of dispersion, i.e., Median Absolute Deviation (MAD). This method robustly identifies the most discriminativ...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176540/ https://www.ncbi.nlm.nih.gov/pubmed/34141889 http://dx.doi.org/10.7717/peerj-cs.562 |