SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines ; volume:15 ; number:1 ; day:28 ; month:4 ; year:2014 ; pages:1-8 ; date:12.2014
BMC bioinformatics ; 15, Heft 1 (28.4.2014), 1-8, 12.2014
- Creator
-
Cao, Renzhi
- Contributor
-
Wang, Zheng
Wang, Yiheng
Cheng, Jianlin
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-15-120
- URN
-
urn:nbn:de:1111-2016021747224
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:33 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Cao, Renzhi
- Wang, Zheng
- Wang, Yiheng
- Cheng, Jianlin
- SpringerLink (Online service)
Other Objects (12)
A conformation ensemble approach to protein residue-residue contact
Predicting protein residue-residue contacts using random forests and deep networks
Women in the Chinese enlightenment : oral and textual histories
Colonic J-pouch versus side-to-end anastomosis for rectal cancer: a systematic review and meta-analysis of randomized controlled trials
The role of iconic practice in Bruno’s gnoseology
Exploring the 2D and 3D structural properties of topologically associating domains
Translating feminisms in China : a special issue of "Gender & history"
COVID-19 and U.S.-China Relations
Genomics progress will facilitate molecular breeding in soybean
Reconstructing high-resolution chromosome three-dimensional structures by Hi-C complex networks
MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials
GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms
A conformation ensemble approach to protein residue-residue contact
Predicting protein residue-residue contacts using random forests and deep networks
Women in the Chinese enlightenment : oral and textual histories
Colonic J-pouch versus side-to-end anastomosis for rectal cancer: a systematic review and meta-analysis of randomized controlled trials
The role of iconic practice in Bruno’s gnoseology
Exploring the 2D and 3D structural properties of topologically associating domains
Translating feminisms in China : a special issue of "Gender & history"
COVID-19 and U.S.-China Relations
Genomics progress will facilitate molecular breeding in soybean
Reconstructing high-resolution chromosome three-dimensional structures by Hi-C complex networks
MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials
GOGO: An improved algorithm to measure the semantic similarity between gene ontology terms
A conformation ensemble approach to protein residue-residue contact
Predicting protein residue-residue contacts using random forests and deep networks
Women in the Chinese enlightenment : oral and textual histories
Colonic J-pouch versus side-to-end anastomosis for rectal cancer: a systematic review and meta-analysis of randomized controlled trials
The role of iconic practice in Bruno’s gnoseology
Exploring the 2D and 3D structural properties of topologically associating domains
Translating feminisms in China : a special issue of "Gender & history"
COVID-19 and U.S.-China Relations
Genomics progress will facilitate molecular breeding in soybean
Reconstructing high-resolution chromosome three-dimensional structures by Hi-C complex networks
MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials