Disambiguating proteins, genes, and RNA in text: a machine learning approach
BioinformaticsPublished 1 June 2001Open access
Vasileios Hatzivassiloglou, Pablo Duboue, Andrey Rzhetsky
Citations225
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TL;DR
Three machine learning algorithms and several extended ways for defining contextual features for disambiguation are examined, and a fully unsupervised manner for obtaining training examples is proposed.
Abstract
We present an automated system for assigning protein, gene, or mRNA class labels to biological terms in free text. Three machine learning algorithms and several extended ways for defining contextual features for disambiguation are examined, and a fully unsupervised manner for obtaining training examples is proposed. We train and evaluate our system over a collection of 9 million words of molecular biology journal articles, obtaining accuracy rates up to 85%.
Keywords
Computer ScienceBiochemistry, Genetics and Molecular Biology
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