Sparse optimal scoring for multiclass cancer diagnosis and biomarker detection using microarray data

DOI10.1016/j.compbiolchem.2008.07.015zbMath1158.92316OpenAlexW1970119584WikidataQ33362762 ScholiaQ33362762MaRDI QIDQ1004954

Chenlei Leng

Publication date: 12 March 2009

Published in: Computational Biology and Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compbiolchem.2008.07.015

zbMATH Keywords

microarray data analysismulticlass classificationbiomarker detection

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Related Items (6)

Sparse HDLSS discrimination with constrained data piling ⋮ Group variable selection via \(\ell_{p,0}\) regularization and application to optimal scoring ⋮ Classification of biomedical signals for differential diagnosis of Raynaud's phenomenon ⋮ Unnamed Item ⋮ Diagonal Discriminant Analysis With Feature Selection for High-Dimensional Data ⋮ Penalized Classification using Fisher’s Linear Discriminant

Uses Software

• boost

Cites Work

• Penalized Discriminant Methods for the Classification of Tumors from Gene Expression Data
• Flexible Discriminant Analysis by Optimal Scoring
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Regularization and Variable Selection Via the Elastic Net
• Model Selection and Estimation in Regression with Grouped Variables
• Multicategory Support Vector Machines
• Random forests
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