Cited By
View all- Kim MJeong YSong M(2014)Investigating the integrated landscape of the intellectual topology of bioinformaticsScientometrics10.1007/s11192-014-1417-1101:1(309-335)Online publication date: 1-Oct-2014
Classification of Protein-Protein Interaction Full-Text Documents Using Text and Citation Network Features
Authors: 
Artemy Kolchinsky, Alaa Abi-Haidar, Jasleen Kaur, Ahmed Abdeen Hamed, Luis M. RochaAuthors Info & Claims
Pages 400 - 411
Abstract
We participated (as Team 9) in the Article Classification Task of the Biocreative II.5 Challenge: binary classification of full-text documents relevant for protein-protein interaction. We used two distinct classifiers for the online and offline challenges: 1) the lightweight Variable Trigonometric Threshold (VTT) linear classifier we successfully introduced in BioCreative 2 for binary classification of abstracts and 2) a novel Naive Bayes classifier using features from the citation network of the relevant literature. We supplemented the supplied training data with full-text documents from the MIPS database. The lightweight VTT classifier was very competitive in this new full-text scenario: it was a top-performing submission in this task, taking into account the rank product of the Area Under the interpolated precision and recall Curve, Accuracy, Balanced F-Score, and Matthew's Correlation Coefficient performance measures. The novel citation network classifier for the biomedical text mining domain, while not a top performing classifier in the challenge, performed above the central tendency of all submissions, and therefore indicates a promising new avenue to investigate further in bibliome informatics.
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- Classification of Protein-Protein Interaction Full-Text Documents Using Text and Citation Network Features
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Published: 01 July 2010
Published in TCBB Volume 7, Issue 3
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View all- Kim MJeong YSong M(2014)Investigating the integrated landscape of the intellectual topology of bioinformaticsScientometrics10.1007/s11192-014-1417-1101:1(309-335)Online publication date: 1-Oct-2014
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