کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384267 660843 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection
چکیده انگلیسی

Many subset gene selection methods for microarray data employ classification tools to evaluate the discernability of a gene subset on a specific disease, and this evaluation process generally has a high computational complexity. In this study, we propose a probabilistic mechanism supported by a density-based clustering method and a distance measure to perform individual and group gene replacement for gene selection. Analysts can choose proper values for the parameters of the probabilistic mechanism to set the computational complexity for gene selection. The discernability of a gene subset on classification is evaluated by the distance measure to avoid the language bias that can be introduced by classification tools. Our experimental results on six microarray data sets show that the probabilistic mechanism can effectively and efficiently filter a gene subset with a high discernability on cancer diagnosis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 37, Issue 3, 15 March 2010, Pages 2144–2149
نویسندگان
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