Abstract
Our understanding of biological systems is highly dependent on the study of the mechanisms that regulate genetic expression. In this paper we present a tool to evaluate scientific papers that potentially describe Saccharomyces cerevisiae gene regulations, following the identification of transcription factors in abstracts using text mining techniques. GREAT evaluates the probability of a given gene-transcription factor pair corresponding to a gene regulation based on data retrieved from public biological databases. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Machado, C., Bastos, H., & Couto, F. (2009). GREAT: Gene regulation evaluation tool. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 930–933). https://doi.org/10.1007/978-3-642-02481-8_142
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