Classification of gene-expression data: the manifold-based metric learning way

DOI10.1016/j.patcog.2006.05.026zbMath1103.68769OpenAlexW2011980553MaRDI QIDQ850156

Jianguo Lee, Changshui Zhang

Publication date: 15 November 2006

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.05.026

zbMATH Keywords

gene expressionmanifold learningmetric learningnearest neighbor

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Biochemistry, molecular biology (92C40)

Related Items

Decision rules for efficient classification of biological data, Classification using distances from samples to linear manifolds, Dimensionality reduction: an interpretation from manifold regularization perspective, Supervised locally linear embedding with probability-based distance for classification, An online incremental orthogonal component analysis method for dimensionality reduction

Uses Software

• LIBSVM

Cites Work

• Boosting the margin: a new explanation for the effectiveness of voting methods
• Multiple Comparisons
• Nearest neighbor pattern classification
• Random forests
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