Splice Site Prediction Using Support Vector Machines with a Bayes Kernel
One of the most important tasks in correctly annotating genes in higher organisms is to accurately locate the DNA splice sites. Although relatively high accuracy has been achieved by existing methods, most of these prediction methods are computationally extensive. Due to the enormous amount of DNA s...
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Main Authors: | , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2006
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Online Access: | https://ink.library.smu.edu.sg/sis_research/1163 http://dx.doi.org/10.1016/j.eswa.2005.09.052 |
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Institution: | Singapore Management University |
Language: | English |
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