Robust proportional overlapping analysis for feature selection in binary classification within functional genomic experiments

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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Bibliographic Details
Main Authors: Muhammad Hamraz, Naz Gul, Mushtaq Raza, Dost Muhammad Khan, Umair Khalil, Seema Zubair, Zardad Khan
Format: Article
Language:English
Published: PeerJ Inc. 2021-06-01
Series:PeerJ Computer Science
Subjects:
Overlapping analysis
Feature selection
Binary classification
Functional genomic
Online Access:https://peerj.com/articles/cs-562.pdf

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https://peerj.com/articles/cs-562.pdf

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