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EnglishA key activity for life scientists is the exploration of the relatedness of a set of genes in order to differentiate genes performing coherently related functions from random grouped genes. This paper considers exploring the relatedness within two popular bio-organizations, namely gene families and pathways. This exploration is carried out by integrating different resources (ontologies, texts, expert classifications) and aims to suggest patterns that facilitate the biologists in obtaining a more comprehensive vision of differences in gene behaviour. Our approach is based on the annotation of a specialized corpus of texts (the gene summaries) that condense the description of functions/processes in which genes are involved. By annotating these summaries with different ontologies a set of descriptor terms is derived and compared in order to obtain a measure of relatedness within the bio-organizations we considered. Finally, the most important annotations within each family are extracted using a text categorization method.
Exploring the relatedness of gene sets / Dessì, Nicoletta; Dessì, Stefania; Pascariello, Emanuele; Pes, Barbara. - 8623(2015), pp. 44-56. ((Intervento presentato al convegno 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2014 tenutosi a Cambridge, UK nel 2014.
| Titolo: | Exploring the relatedness of gene sets | |
| Autori: | ||
| Data di pubblicazione: | 2015 | |
| Serie: | ||
| Citazione: | Exploring the relatedness of gene sets / Dessì, Nicoletta; Dessì, Stefania; Pascariello, Emanuele; Pes, Barbara. - 8623(2015), pp. 44-56. ((Intervento presentato al convegno 11th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2014 tenutosi a Cambridge, UK nel 2014. | |
| Handle: | http://hdl.handle.net/11584/185991 | |
| ISBN: | 9783319244617 | |
| Tipologia: | 4.1 Contributo in Atti di convegno |
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http://hdl.handle.net/11584/185991
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