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Table 2 GeneId-Ranking Methods on Development Data

From: A graph-search framework for associating gene identifiers with documents

 

Mean Average Precision (MAP)

mouse development data

 

likely-prot + softTFIDF

0.450

possible-prot + softTFIDF

0.626

graph-based ranking

0.513

   + extra links

0.730

   + extra links & learning

0.807

  1. Mean average precision of several geneId-ranking methods on the 50 abstracts from the mouse development dataset. The first two lines are NER systems, coupled with using softTFIDF to matching extracted names with gene synonyms. The graph-based ranking method (see text) ranks geneIds by proximity to a query abstract in a graph that includes the results of both NER systems.
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BMC Bioinformatics

ISSN: 1471-2105

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