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...
Main Authors: | Muhammad Hamraz, Naz Gul, Mushtaq Raza, Dost Muhammad Khan, Umair Khalil, Seema Zubair, Zardad Khan |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2021-06-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-562.pdf |
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