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Recognition of specific functionally-important DNA sequence fragments is considered one of the most important problems in bioinformatics. One type of such fragments is splice-junction (intron-exon or exon-intron) sites. Detection of splice-junction sites in DNA sequences is important for successful gene prediction. In this paper, support vector machine (SVM) is used for classification of DNA sequences...
The recent explosion in procurement and availability of high-dimensional gene and protein expression profile data sets for cancer diagnostics has necessitated the development of sophisticated machine learning tools with which to analyze them. While some investigators are focused on identifying informative genes and proteins that play a role in specific diseases, other researchers have attempted instead...
Summary form only given. The current molecular biology and systems biology is featured by the rapid accumulation of high-throughput genomics and proteomics data like microarray and mass spectrometry (MS) data. Through our study on microarray and MS data, we have observed that the cancer classification and gene/biomarker selection task has many unique characteristics that distinguish itself from other...
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