A Comparative Study on Feature Selection and Classification Methods Using Gene Expression Profiles and Proteomic Patterns

• Published in: Genome Informatics Vol. 13; pp. 51 - 60
• Main Authors: Wong, Limsoon, Liu, Huiqing, Li, Jinyan
• Format: Journal Article
• Language: English
• Published: Japan Japanese Society for Bioinformatics 2002
• Subjects: Algorithms; classification; Data Interpretation, Statistical; feature selection; Female; gene expression profiles; Gene Expression Profiling - methods; Humans; Ovarian Neoplasms - classification; Ovarian Neoplasms - genetics; Precursor Cell Lymphoblastic Leukemia-Lymphoma - classification; Precursor Cell Lymphoblastic Leukemia-Lymphoma - genetics; Proteome - classification; Proteome - genetics; proteomic patterns

Feature selection plays an important role in classification. We present a comparative study on six feature selection heuristics by applying them to two sets of data. The first set of data are gene expression profiles from Acute Lymphoblastic Leukemia (ALL) patients. The second set of data are proteo...