کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
410363 679140 2010 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gene and sample selection for cancer classification with support vectors based t-statistic
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Gene and sample selection for cancer classification with support vectors based t-statistic
چکیده انگلیسی

T-statistic is widely used for gene ranking in the analysis of microarray gene expressions. Such a filter based criterion is generally computed using all the training samples, all of which, however, may not be equally important for classification task. In this paper, we decompose the t-statistic into two parts, corresponding to relevant and irrelevant data points. The relevant data points are selected using support vectors and then used to compute t-statistic for feature selection. By simultaneously selecting data points and genes, significantly better classification results are achieved on synthetic as well as on several benchmark cancer datasets.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 13–15, August 2010, Pages 2353–2362
نویسندگان
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