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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Luo Liang |
| Copyright Year | 2012 |
| Abstract | In this paper we imitate the ways of the information theory and propose new ways to classify features from 20 amino acids, we then use the classify features as inputs code for a neural network and apply to prediction the secondary structure of globular protein and give a new thought to research the protein structure. |
| Starting Page | 212 |
| Ending Page | 215 |
| File Size | 149652 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467319027 |
| DOI | 10.1109/IHMSC.2012.147 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Proteins Coils Predicting the secondary structure Accuracy Databases Neural networks Amino acids Net network Mathematical model Information theory |
| Content Type | Text |
| Resource Type | Article |
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