- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Relation extraction for biological pathway construction using node2vec ; volume:19 ; number:8 ; day:13 ; month:6 ; year:2018 ; pages:75-84 ; date:6.2018
BMC bioinformatics ; 19, Heft 8 (13.6.2018), 75-84, 6.2018
- Classification
-
Biowissenschaften, Biologie
- Creator
-
Kim, Munui
- Contributor
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Baek, Seung Han
Song, Min
SpringerLink (Online service)
- DOI
-
10.1186/s12859-018-2200-8
- URN
-
urn:nbn:de:101:1-2018081222210898409298
- 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:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kim, Munui
- Baek, Seung Han
- Song, Min
- SpringerLink (Online service)
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e-Science and biological pathway semantics
Knowledge-intensive, high-performance relation extraction
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Automatic pathway building in biological association networks
Exploratory relation extraction in large multilingual data
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Pathway Distiller - multisource biological pathway consolidation
enRoute: dynamic path extraction from biological pathway maps for exploring heterogeneous experimental datasets
Construction-based cumulation and adjunct extraction
Task generality in relation extraction
Seeking unique and common biological themes in multiple gene lists or datasets: pathway pattern extraction pipeline for pathway-level comparative analysis
e-Science and biological pathway semantics
Knowledge-intensive, high-performance relation extraction
Relation Semantic Guidance and Entity Position Location for Relation Extraction
Automatic pathway building in biological association networks
Exploratory relation extraction in large multilingual data
Efficient relation extraction via quantum reinforcement learning