Variable selection for Fisher linear discriminant analysis using the modified sequential backward selection algorithm for the microarray data

DOI10.1016/j.amc.2014.03.141zbMath1334.62196OpenAlexW2061044471MaRDI QIDQ275156

Chun-Fu Jiang, Jin-Shan Liu, Xiang Fang, Hong-Yi Peng

Publication date: 25 April 2016

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2014.03.141

zbMATH Keywords

variable selectionmicroarray dataFisher linear discriminant analysismodified SBSweighted Mahalanobis distance

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)

Uses Software

• SparseLOGREG

Cites Work

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• Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage
• A Branch and Bound Algorithm for Feature Subset Selection
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Bayes Model Averaging with Selection of Regressors
• Bayesian Graphical Models for Discrete Data
• A Direct Method of Nonparametric Measurement Selection
• Bayesian Variable Selection in Clustering High-Dimensional Data

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