A genetic filter for cancer classification on gene expression data
Source abstract
Abstract
Abstract We present a new genetic filter to identify a predictive gene subset for cancer-type classification on gene expression profiles. This approach pursues to not only maximize correlation between selected genes and cancer types but also minimize inter-correlation among selected genes. The proposed genetic filter was tested on well-known leukemia datasets, and significant improvement over previous work was obtained.
Source: crossref · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Gene expression and cancer classification · Bioinformatics and Genomic Networks · Machine Learning in Bioinformatics
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Affiliations
Department of Computer Science & Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 139-701, Republic of Korea
Department of Computer Engineering, College of Information Technology, Gachon University, 1342 Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do 461-701, Republic of Korea
References
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