sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic

sigFeature: Novel Significant Feature Selection Method for Classification of Gene Expression Data Using Support Vector Machine and t Statistic

Biological data are accumulating at a faster rate, but interpreting them still remains a problem. Classifying biological data into distinct groups is the first step in understanding them. Data classification in response to a certain treatment is an extremely important aspect for differentially expre...

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Bibliographic Details
Main Authors: Pijush Das, Anirban Roychowdhury, Subhadeep Das, Susanta Roychoudhury, Sucheta Tripathy
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Genetics
Subjects:
feature selection
machine learning
support vector machine
microaaray
cancer
RNA-Seq
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2020.00247/full

Internet

https://www.frontiersin.org/article/10.3389/fgene.2020.00247/full

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