Research article
Automating document classification for the Immune Epitope Database
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* Corresponding author: Bjoern Peters bpeters@liai.org
1 The La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA
2 Biomedical Informatics, Stanford University School of Medicine, Stanford, California 94305-5120, USA
BMC Bioinformatics 2007, 8:269 doi:10.1186/1471-2105-8-269
Published: 26 July 2007Additional files
Additional file 1:
PubMed queries. PubMed queries to extract potentially IEDB relevant abstracts.
Format: DOC Size: 81KB Download file
This file can be viewed with: Microsoft Word Viewer
Additional file 2:
abstracts. The zip file contains four text files describing the IEDB relevance of PubMed abstracts used in this study (ac_id.txt: category A-C pathogen, allergen_id.txt: allergen, er_id.txt: emerging-reemerging diseases and other_id.txt: pathogens in other categories). Each line has three fields: PubMed PMID, relevance to IEDB and publication year.
Format: ZIP Size: 96KB Download file