The Relative Importance of Input Encoding and Learning Methodology on Protein Secondary Structure Prediction
In this thesis the relative importance of input encoding and learning algorithm on protein secondary structure prediction is explored. A novel input encoding, based on multidimensional scaling applied to a recently published amino acid substitution matrix, is developed and shown to be superior to an...
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| Format: | Others |
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Digital Archive @ GSU
2006
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| Online Access: | http://digitalarchive.gsu.edu/cs_theses/19 http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1018&context=cs_theses |