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...

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Detalles Bibliográficos
Autores principales: Hamraz, Muhammad, Gul, Naz, Raza, Mushtaq, Khan, Dost Muhammad, Khalil, Umair, Zubair, Seema, Khan, Zardad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Algorithms and Analysis of Algorithms
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

Internet

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

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