کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1548856 | 997760 | 2009 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel methodology for finding the regulation on gene expression data
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی مواد
مواد الکترونیکی، نوری و مغناطیسی
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چکیده انگلیسی
DNA microarray technology is a high throughput and parallel technique for genomic investigation due to its advantages of simultaneously surveying features of large scales complex data in biology. This paper aims to find feature subset to build the classifier for gene expression data analysis. At first, K-means clustering algorithm was carried out on the dataset of yeast cell cycle. Based on Rand calculation, a statistical method was used to pick out the data points (genes) for classifier design. Meanwhile, the principal component analysis was applied to help to construct the classifier. For the validation of classifier built and prediction of a target subset of genes, discriminant analysis in terms of partial least square regression and artificial neural network were also performed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Progress in Natural Science - Volume 19, Issue 2, 10 February 2009, Pages 267-272
Journal: Progress in Natural Science - Volume 19, Issue 2, 10 February 2009, Pages 267-272
نویسندگان
Wei Liu, Bo Wang, Jarka Glassey, Elaine Martin, Jian Zhao,