Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles

Xin Jin; Anbang Xu; Rongfang Bie; Ping Guo

doi:10.1007/11691730_11

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Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles

Xin Jin Anbang Xu Rongfang Bie Ping Guo

Year: 2006 Lecture notes in computer science Pages: 106-115 Publisher: Springer Science+Business Media

DOI: 10.1007/11691730_11

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Keywords:

SAGE Naive Bayes classifier Feature selection Support vector machine Computer science Artificial intelligence Machine learning Bayes' theorem Microarray analysis techniques Gene selection Selection (genetic algorithm) Gene expression profiling Pattern recognition (psychology) Data mining Gene Gene expression Biology Genetics Bayesian probability

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Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Machine Learning in Bioinformatics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles

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