Research article
Extracting causal relations on HIV drug resistance from literature
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* Corresponding author: Quoc-Chinh Bui bqchinh@gmail.com
1 Computational Science, University of Amsterdam, Science Park 107, 1098 XG Amsterdam, The Netherlands
2 Department of Virology, Erasmus University Rotterdam, Dr Molewaterplein 50, 3015 GE, Rotterdam, The Netherlands
BMC Bioinformatics 2010, 11:101 doi:10.1186/1471-2105-11-101
Published: 23 February 2010Additional files
Additional file 1:
Simplification_process. A MS Word document provides details of simplification process.
Format: DOC Size: 49KB Download file
This file can be viewed with: Microsoft Word Viewer
Additional file 2:
List_of _approved_HIV_drugs. A MS Word document provides a list of 22 FDA approved drug names.
Format: DOC Size: 51KB Download file
This file can be viewed with: Microsoft Word Viewer
Additional file 3:
500_PubMed_results. A text file containing the list of 500 sentences taken from abstracts and the extracted relations corresponding to each input sentence.
Format: TXT Size: 159KB Download file
Additional file 4:
130_HIVDB_results. A text file containing the list of 130 sentences taken from the Stanford HIVDB rules and the extracted relations corresponding to each input sentence.
Format: TXT Size: 32KB Download file
Additional file 5:
Performance_evaluation. A MS Word document provides details of the evaluation of the extraction method on 500 sentences taken from PubMed abstracts.
Format: DOC Size: 33KB Download file
This file can be viewed with: Microsoft Word Viewer