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A reliable measure of similarity based on dependency for short time series: an application to gene expression networks |
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| Authors: | M?nica G Campiteli Frederico M Soriani Iran Malavazi Osame Kinouchi Carlos AB Pereira Gustavo H Goldman |
| Affiliation: | (1) Departamento de Ciencias Farmac?uticas, Faculdade de Ci?ncias Farmac?uticas de Ribeir?o Preto Universidade de S?o Paulo, SP, Ribeir?o Preto, Brazil;(2) Departamento de F?sica e Matem?tica – Faculdade de Filosofia, Ci?ncias e Letras de Ribeir?o Preto Universidade de S?o Paulo, SP, Ribeir?o Preto, Brazil;(3) Instituto de Matem?tica e Estat?istica Universidade de Sao Paulo, S?o Paulo, SP, Brazil |
| Abstract: | BackgroundMicroarray techniques have become an important tool to the investigation of genetic relationships and the assignment of different phenotypes. Since microarrays are still very expensive, most of the experiments are performed with small samples. This paper introduces a method to quantify dependency between data series composed of few sample points. The method is used to construct gene co-expression subnetworks of highly significant edges. |
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