Protein Secondary Structure Prediction Based on Linear Transformation and Normalization Methods
碩士 === 國立清華大學 === 資訊工程學系 === 95 === Protein secondary structure prediction has been extensively discussed for almost 50 years and the machine learning is one of feasible methods for it with more than 70% accuracy. PSIPRED, PHD and PROF are well-known machine learning approaches and based on the thre...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/71577696826096177835 |