Large margin kernel methods for calmodulin binding prediction
| dc.contributor.author | Hamilton, Michael, author | |
| dc.contributor.author | Ben-Hur, Asa, advisor | |
| dc.contributor.author | Anderson, Charles, committee member | |
| dc.contributor.author | Iyer, Hariharan, committee member | |
| dc.date.accessioned | 2022-04-15T15:26:03Z | |
| dc.date.available | 2022-04-15T15:26:03Z | |
| dc.date.issued | 2010 | |
| dc.description | Covers not scanned. | |
| dc.description | Print version deaccessioned 2022. | |
| dc.description.abstract | Protein-protein interactions are involved in nearly all molecular processes of organisms. However direct laboratory techniques for identifying binding partners remain expensive and difficult at the proteome scale. In this work, kernel methods for predicting calmodulin binding partners and calmodulin binding sites are presented. Furthermore, we compare binary and structural support vector machines with multiple kernels defined over protein sequences. | |
| dc.format.medium | masters theses | |
| dc.identifier.uri | https://hdl.handle.net/10217/234711 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation | Catalog record number (MMS ID): 991014244339703361 | |
| dc.relation | Q325.5 .H354 2010 | |
| dc.relation.ispartof | 2000-2019 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | Kernel functions | |
| dc.subject | Calmodulin | |
| dc.subject | Calcium-binding proteins | |
| dc.title | Large margin kernel methods for calmodulin binding prediction | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- ETDF_2010_Spring_Hamilton_Michael.pdf
- Size:
- 12.66 MB
- Format:
- Adobe Portable Document Format