Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/5155
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Maji, Pradipta | - |
dc.contributor.author | Das, Chandra | - |
dc.date.accessioned | 2013-01-17T11:52:30Z | - |
dc.date.available | 2013-01-17T11:52:30Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | IEEETON, v 9, no. 4, p 242--249 | en_US |
dc.identifier.uri | http://hdl.handle.net/10263/5155 | - |
dc.language.iso | en | en_US |
dc.subject | Functional site prediction | en_US |
dc.subject | Bioinformatics | en_US |
dc.subject | Pattern recognition | en_US |
dc.subject | Sequence analysis | en_US |
dc.subject | Support vector machine | en_US |
dc.title | Efficient design of bio-basis function to predict protein functional sites using kernel-based classifiers | en_US |
dc.type | Article | en_US |
Appears in Collections: | Computer Science |
Files in This Item:
File | Description | Size | Format | |
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Efficient Design of Bio-Basis Function to Predict Protein Functional Sites Using Kernel-Based Classifiers-IEEETON-9-4-2010- p 242--249.pdf | 2.23 MB | Adobe PDF | View/Open |
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