ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization ; volume:9 ; number:1 ; day:01 ; month:2 ; year:2008 ; pages:1-16 ; date:12.2008
BMC bioinformatics ; 9, Heft 1 (01.2.2008), 1-16, 12.2008
- Creator
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Huang, Wen-Lin
- Contributor
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Tung, Chun-Wei
Ho, Shih-Wen
Hwang, Shiow-Fen
Ho, Shinn-Ying
SpringerLink (Online service)
- DOI
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10.1186/1471-2105-9-80
- URN
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urn:nbn:de:1111-201602173619
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:24 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
- Huang, Wen-Lin
- Tung, Chun-Wei
- Ho, Shih-Wen
- Hwang, Shiow-Fen
- Ho, Shinn-Ying
- SpringerLink (Online service)
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The Gene Ontology (GO) Cellular Component Ontology: integration with SAO (Subcellular Anatomy Ontology) and other recent developments
Gene ontology based transfer learning for protein subcellular localization
MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction
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GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning
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2. Loc. Comm. - 3. Loc. Comm.
Informative Anzeigen
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Predicting subcellular location of protein with evolution information and sequence-based deep learning
The Gene Ontology (GO) Cellular Component Ontology: integration with SAO (Subcellular Anatomy Ontology) and other recent developments
Gene ontology based transfer learning for protein subcellular localization
MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction
ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes
ngLOC: software and web server for predicting protein subcellular localization in prokaryotes and eukaryotes
GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning
mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines
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