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
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله

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
Journal: Neurocomputing - Volume 73, Issues 13–15, August 2010, Pages 2353–2362
نویسندگان
Piyushkumar A. Mundra, Jagath C. Rajapakse,