FLOating-Window Projective Separator (FloWPS): A Data Trimming Tool for Support Vector Machines (SVM) to Improve Robustness of the Classifier

FLOating-Window Projective Separator (FloWPS): A Data Trimming Tool for Support Vector Machines (SVM) to Improve Robustness of the Classifier

Here, we propose a heuristic technique of data trimming for SVM termed FLOating Window Projective Separator (FloWPS), tailored for personalized predictions based on molecular data. This procedure can operate with high throughput genetic datasets like gene expression or mutation profiles. Its applica...

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Bibliographic Details
Main Authors: Victor Tkachev, Maxim Sorokin, Artem Mescheryakov, Alexander Simonov, Andrew Garazha, Anton Buzdin, Ilya Muchnik, Nicolas Borisov
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Genetics
Subjects:
bioinformatics
machine learning
oncology
gene expression
support vector machines
personalized medicine
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2018.00717/full

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