Data Mining for Genetics: A Genetic Algorithm Approach

MINING biological data is an emerging area of intersection between data mining and bioinformatics. Bio-informaticians have been working on the research and development of computational methodologies and tools for expanding the use of biological, medical, behavioral, or health-related data. Biological data mining aims to extract significant information from DNA, RNA and proteins. Many biological processes are not well-understood Biological knowledge is highly complex. In this paper we discussed in discovering genetic features and environmental factors that are involved in multifactorial diseases such as (obesity, diabetes). To exploit this data, data mining tools are required and we using a specific genetic algorithm.

• Type: Journal
• Year: 2008
• Where: JCIT
• Authors: G. Madhu, Keshava Reddy
• Keywords: Biological, Biological Data, JCIT 2008, Mining