Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms

Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms

Abstract Background With modern methods in biotechnology, the search for biomarkers has advanced to a challenging statistical task exploring high dimensional data sets. Feature selection is a widely researched preprocessing step to handle huge numbers of biomarker candidates and has special importan...

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Bibliographic Details
Main Authors: Rudolf Jagdhuber, Michel Lang, Arnulf Stenzl, Jochen Neuhaus, Jörg Rahnenführer
Format: Article
Language:English
Published: BMC 2020-01-01
Series:BMC Bioinformatics
Subjects:
Feature cost
Genetic algorithm
Budget constraint
Cost limit
Feature selection
Online Access:https://doi.org/10.1186/s12859-020-3361-9

Internet

https://doi.org/10.1186/s12859-020-3361-9

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