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  1. Transactions on Computational Biology and Bioinformatics (TCBB)
  2. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 7
  3. Issue 3, July 2010
  4. An Overview of BioCreative II.5
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IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 13
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 12
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 11
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 10
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 9
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 8
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 7
Issue 4, October 2010
Issue 3, July 2010
An Overview of BioCreative II.5
Classification of Protein-Protein Interaction Full-Text Documents Using Text and Citation Network Features
Multistage Gene Normalization and SVM-Based Ranking for Protein Interactor Extraction in Full-Text Articles
Empirical Investigations into Full-Text Protein Interaction Article Categorization Task (ACT) in the BioCreative II.5 Challenge
BioLMiner System: Interaction Normalization Task and Interaction Pair Task in the BioCreative II.5 Challenge
Extracting Protein Interactions from Text with the Unified AkaneRE Event Extraction System
An IR-Aided Machine Learning Framework for the BioCreative II.5 Challenge
Exploring Species-Based Strategies for Gene Normalization
OntoGene in BioCreative II.5
Efficient Extraction of Protein-Protein Interactions from Full-Text Articles
Cache-Oblivious Dynamic Programming for Bioinformatics
CollHaps: A Heuristic Approach to Haplotype Inference by Parsimony
Combinatorial Analysis for Sequence and Spatial Motif Discovery in Short Sequence Fragments
Nonnegative Principal Component Analysis for Cancer Molecular Pattern Discovery
SCS: Signal, Context, and Structure Features for Genome-Wide Human Promoter Recognition
A Study of Hierarchical and Flat Classification of Proteins
On the Complexity of uSPR Distance
Issue 2, April 2010
Issue 1, January 2010
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 6
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 5
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 4
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 3
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 2
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) : Volume 1

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A: An Overview of BioCreative II.5

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An Overview of BioCreative II.5

Content Provider ACM Digital Library
Author Leitner, Florian Hirschman, Lynette A. Valencia, Alfonso Mardis, Scott A. Krallinger, Martin Cesareni, Gianni
Abstract We present the results of the BioCreative II.5 evaluation in association with the FEBS Letters experiment, where authors created Structured Digital Abstracts to capture information about protein-protein interactions. The BioCreative II.5 challenge evaluated automatic annotations from 15 text mining teams based on a gold standard created by reconciling annotations from curators, authors, and automated systems. The tasks were to rank articles for curation based on curatable protein-protein interactions; to identify the interacting proteins (using UniProt identifiers) in the positive articles (61); and to identify interacting protein pairs. There were 595 full-text articles in the evaluation test set, including those both with and without curatable protein interactions. The principal evaluation metrics were the interpolated area under the precision/recall curve (AUC iP/R), and (balanced) F-measure. For article classification, the best AUC iP/R was 0.70; for interacting proteins, the best system achieved good macroaveraged recall (0.73) and interpolated area under the precision/recall curve (0.58), after filtering incorrect species and mapping homonymous orthologs; for interacting protein pairs, the top (filtered, mapped) recall was 0.42 and AUC iP/R was 0.29. Ensemble systems improved performance for the interacting protein task.
Starting Page 385
Ending Page 399
Page Count 15
File Format PDF
ISSN 15455963
DOI 10.1109/TCBB.2010.61
Volume Number 7
Issue Number 3
Journal IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-07-01
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Text mining, text analysis, natural language processing, molecular biology, biological curation.
Content Type Text
Resource Type Article
Subject Genetics Biotechnology Applied Mathematics
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