Analysis of Gene Expressions in Ovarian Cancer Data Set by using Data Mining

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Bioinformatics is a field that is derived from the complicated disciplines such as computer sciences, mathematics, statistics, biology, and physics, in order understand and organize the knowledge with molecules. The fundamental role of bioinformatics is to understand the organism that is given its genomes and to increase the quality of the standard life. Bioinformatics data bases may consist of different data types such as nucleoid sequences, protein sequences, 3D structures of the macro molecules. The processing of the huge amount of bioinformatics data is one of the exciting area for researchers. In this study, state-of-the-art of the data mining in bioinformatics is shortly explained and the studies are investigated that have performed on the cancer databases by using data mining. Ovarian cancer database is used and different feature selection and classification methods are implemented and the results are compared.

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Bioinformatics , data mining , feature selection , ovarian cancer , dimension reduction , classification

International journal of advances in engineering and pure sciences

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International journal of advances in engineering and pure sciences