Please use this identifier to cite or link to this item:
http://hdl.handle.net/10263/5158
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Maji, Pradipta | - |
dc.contributor.author | Paul, Sushmita | - |
dc.date.accessioned | 2013-01-18T10:18:23Z | - |
dc.date.available | 2013-01-18T10:18:23Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | IEEETOSMAC-PartC-AAR, v 40, no. 6, p 639-648 | en_US |
dc.identifier.uri | http://hdl.handle.net/10263/5158 | - |
dc.language.iso | en | en_US |
dc.subject | Drug design | en_US |
dc.subject | Rough set | en_US |
dc.subject | Feature selection | en_US |
dc.subject | Support vector machine | en_US |
dc.subject | Quantitative structure activity relationship | en_US |
dc.title | Rough sets for selection of molecular descriptors to predict biological activity of molecules | en_US |
dc.type | Article | en_US |
Appears in Collections: | Computer Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules-IEEETOSMAC- Part C-AAR-40-6-2010-p 639-648.pdf | 2.53 MB | Adobe PDF | View/Open |
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