Extracting gene regulation information for cancer classification

DOI10.1016/j.patcog.2007.04.007zbMath1122.68565OpenAlexW2079848404MaRDI QIDQ996416

De-Shuang Huang, Hong-Qiang Wang, Hau-San Wong, Jun Shu

Publication date: 14 September 2007

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.04.007

zbMATH Keywords

microarraygene regulationcancer classificationprediction strengthgene expression levels

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

Related Items (1)

Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset

Uses Software

• sma

Cites Work

• Unnamed Item
• Wrappers for feature subset selection
• Detecting differentially expressed genes by relative entropy
• Significance analysis of microarrays applied to the ionizing radiation response
• A Statistical Framework for Expression-Based Molecular Classification in Cancer
• Detecting differential gene expression with a semiparametric hierarchical mixture method
• Gene selection for cancer classification using support vector machines

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