Classification of Ovarian Cancer Microarray Data based on Intelligent Systems with Marker gene
نویسندگان
چکیده
منابع مشابه
Feature Selection and Classification of Microarray Gene Expression Data of Ovarian Carcinoma Patients using Weighted Voting Support Vector Machine
We can reach by DNA microarray gene expression to such wealth of information with thousands of variables (genes). Analysis of this information can show genetic reasons of disease and tumor differences. In this study we try to reduce high-dimensional data by statistical method to select valuable genes with high impact as biomarkers and then classify ovarian tumor based on gene expression data of...
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The present study shows that an ICA-based method can, e®ectively and blindly, classify a vast amount of gene expression data into biologically meaningful groups. Speci ̄cally, we show (1) that genes, whose expression data are sampled at di®erent times, can be classi ̄ed into several groups, based on the correlation of each gene with independent component curves over time, and (2) that these class...
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MOTIVATION Methods for analyzing cancer microarray data often face two distinct challenges: the models they infer need to perform well when classifying new tissue samples while at the same time providing an insight into the patterns and gene interactions hidden in the data. State-of-the-art supervised data mining methods often cover well only one of these aspects, motivating the development of ...
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ژورنال
عنوان ژورنال: The Journal of the Korean Institute of Information and Communication Engineering
سال: 2011
ISSN: 2234-4772
DOI: 10.6109/jkiice.2011.15.3.747