An entity tagger for recognizing acquired genomic variations in cancer literature
VTag is an application for identifying the type, genomic location and genomic state-change of acquired genomic aberrations described in text. The application uses a machine learning technique called conditional random fields. VTag was tested with 345 training and 200 evaluation documents pertaining...
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Veröffentlicht in: | Bioinformatics 2004-11, Vol.20 (17), p.3249-3251 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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