Automating document classification for the Immune Epitope Database

doi:10.1186/1471-2105-8-269

BMC Bioinformatics
Volume 8

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Research article

Automating document classification for the Immune Epitope Database

Peng Wang¹ , Alexander A Morgan² , Qing Zhang¹ , Alessandro Sette¹ and Bjoern Peters¹

¹The La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA

²Biomedical Informatics, Stanford University School of Medicine, Stanford, California 94305-5120, USA

author email corresponding author email

BMC Bioinformatics 2007, 8:269doi:10.1186/1471-2105-8-269


Published:	26 July 2007

Additional files

Additional file 1:

PubMed queries. PubMed queries to extract potentially IEDB relevant abstracts.

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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.

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