التفاصيل البيبلوغرافية
| العنوان: |
An application of kernel methods to gene cluster temporal meta-analysis |
| المؤلفون: |
Antoniotti, Marco1 antoniotti.marco@disco.unimib.it, Carreras, Marco1, Antonella, Farinaccio1, Mauri, Giancario1, Merico, Daniele2,3, Zoppis, Italo1 |
| المصدر: |
Computers & Operations Research. Aug2010, Vol. 37 Issue 8, p1361-1368. 8p. |
| مصطلحات موضوعية: |
*INFORMATION science, BIOINFORMATICS, ARTIFICIAL intelligence research, COMPUTERS in medicine, NEURAL computers, META-analysis, COMPUTER science research |
| مستخلص: |
The application of various clustering techniques for large-scale gene-expression measurement experiments is a well-established method in bioinformatics. Clustering is also usually accompanied by functional characterization of gene sets by assessing statistical enrichments of structured vocabularies, such as the gene ontology (GO) [Gene Ontology Consortium. The gene ontology (GO) project in 2006. Nucleic Acids Research (Database issue), vol. 34; 2006. p. D322–6]. If different clusters are generated for correlated experiments, a machine learning step termed cluster meta-analysis may be performed, in order to discover relations among the components of such sets. Several approaches have been proposed: in particular, kernel methods may be used to exploit the graphical structure of typical ontologies such as GO. Following up the formulation of such approach [Merico D, Zoppis I, Antoniotti M, Mauri G. Evaluating graph kernel methods for relation discovery in GO-annotated clusters. In: KES-2007/WIRN-2007, Part IV, Lecture notes in artificial intelligence, vol. 4694. Berlin: Springer; 2007. p. 892–900; Zoppis I, Merico D, Antoniotti M, Mishra B, Mauri G. Discovering relations among GO-annotated clusters by graph kernel methods. In: Proceedings of the 2007 international symposium on bioinformatics research and applications. Lecture notes in computer science, vol. 4463. Berlin: Springer; 2007], in this paper we discuss, from an information-theoretic point of view, further results about its applicability and its performance. [Copyright &y& Elsevier] |
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| قاعدة البيانات: |
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