Abstract
This paper presents a novel method integrating gene-gene interaction information and Gene Ontology (GO) for the construction of new gene sets that are potentially enriched. Enrichment of a gene set is determined by Gene Set Enrichment Analysis. The experimental results show that the introduced method improves over existing methods, i.e. that it is capable to find new descriptions of the biology governing the experiments, not detectable by the traditional methods of evaluating the enrichment of predefined gene sets, defined by a single GO term.
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Trajkovski, I., Lavrač, N. (2007). Interpreting Gene Expression Data by Searching for Enriched Gene Sets. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds) Artificial Intelligence in Medicine. AIME 2007. Lecture Notes in Computer Science(), vol 4594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73599-1_16
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DOI: https://doi.org/10.1007/978-3-540-73599-1_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73598-4
Online ISBN: 978-3-540-73599-1
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