- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Linguistic feature analysis for protein interaction extraction ; volume:10 ; number:1 ; day:12 ; month:11 ; year:2009 ; pages:1-17 ; date:12.2009
BMC bioinformatics ; 10, Heft 1 (12.11.2009), 1-17, 12.2009
- Creator
-
Fayruzov, Timur
- Contributor
-
Cock, Martine de
Cornelis, Chris
Hoste, Veronique
SpringerLink (Online service)
- DOI
-
10.1186/1471-2105-10-374
- URN
-
urn:nbn:de:1111-201602179040
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:34 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
- Fayruzov, Timur
- Cock, Martine de
- Cornelis, Chris
- Hoste, Veronique
- SpringerLink (Online service)
Other Objects (12)
Protein-protein interaction extraction with feature selection by evaluating contribution levels of groups consisting of related features
Walk-weighted subsequence kernels for protein-protein interaction extraction
Linguistic and extralinguistic in interaction
Classifying protein-protein interaction articles using word and syntactic features
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Protein features fusion using attributed network embedding for predicting protein-protein interaction
AI-based user authentication reinforcement by continuous extraction of behavioral interaction features
A mixture of feature experts approach for protein-protein interaction prediction
Drug–target interaction prediction based on protein features, using wrapper feature selection
Temporal stability of linguistic typological features
Interaction Between Linguistic and Nonlinguistic Factors
Overview of the protein-protein interaction annotation extraction task of BioCreative II
Protein-protein interaction extraction with feature selection by evaluating contribution levels of groups consisting of related features
Walk-weighted subsequence kernels for protein-protein interaction extraction
Linguistic and extralinguistic in interaction
Classifying protein-protein interaction articles using word and syntactic features
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Protein features fusion using attributed network embedding for predicting protein-protein interaction
AI-based user authentication reinforcement by continuous extraction of behavioral interaction features
A mixture of feature experts approach for protein-protein interaction prediction
Drug–target interaction prediction based on protein features, using wrapper feature selection
Temporal stability of linguistic typological features
Interaction Between Linguistic and Nonlinguistic Factors
Overview of the protein-protein interaction annotation extraction task of BioCreative II
Protein-protein interaction extraction with feature selection by evaluating contribution levels of groups consisting of related features
Walk-weighted subsequence kernels for protein-protein interaction extraction
Linguistic and extralinguistic in interaction
Classifying protein-protein interaction articles using word and syntactic features
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Protein features fusion using attributed network embedding for predicting protein-protein interaction
AI-based user authentication reinforcement by continuous extraction of behavioral interaction features
A mixture of feature experts approach for protein-protein interaction prediction
Drug–target interaction prediction based on protein features, using wrapper feature selection
Temporal stability of linguistic typological features
Interaction Between Linguistic and Nonlinguistic Factors