Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection—an application in metabolomics studies

Primal-dual for classification with rejection (PD-CR): a novel method for classification and feature selection—an application in metabolomics studies

Background: Supervised classification methods have been used for many years for feature selection in metabolomics and other omics studies. We developed a novel primal-dual based classification method (PD-CR) that can perform classification with rejection and feature selection on high dimensional dat...

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Bibliographic Details
Main Authors: Bailleux, C. (Author), Barlaud, M. (Author), Burel-Vandenbos, F. (Author), Chardin, D. (Author), Humbert, O. (Author), Pourcher, T. (Author), Rigau, V. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
Classification methods
Confidence score
Constrained optimization
Decision trees
discriminant analysis
Discriminant analysis
Discriminant Analysis
False discovery rate
Feature extraction
Features selection
human
Humans
Isocitrate dehydrogenase
least square analysis
Least squares approximations
Least-Squares Analysis
Metabolites
metabolomics
Metabolomics
Partial least squares discriminant analyses (PLSDA)
Primal-dual
Random forests
support vector machine
Support Vector Machine
Support vector machines
Support vectors machine
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