Biological analysis of microarray data using orthogonal forward selection with a clustering approach
DNA microarray technology allows researchers to monitor the expression level of thousands of genes under various conditions in microarray experiments. However, high-dimensional data in microarray is a major challenge as the irrelevant genes often reduce the detection capability and increase the comp...
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Main Authors: | , , , , , , |
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Format: | Article |
Published: |
World Scientific Publishing Co. Pte Ltd
2015
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/57959/ http://dx.doi.org/10.1142/S021833901550014X |
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Institution: | Universiti Teknologi Malaysia |