INVESTIGADORES
FERNANDEZ Paula Del Carmen
artículos
Título:
How to Group Genes according to Expression Profiles?
Autor/es:
DI RIENZO J.A,; VALDANO S; FERNANDEZ , P.
Revista:
International Journal of Plant Genomics
Editorial:
Hindawi Publishing Corporation
Referencias:
Año: 2011 vol. 2011 p. 201 - 214
ISSN:
415378536
Resumen:
The most commonly applied strategies for identifying genes with a common response profile are based on clustering algorithms.These methods have no explicit rules to define the appropriate number of groups of genes. Usually the number of clusters isdecided on heuristic criteria or through the application of different methods proposed to assess the number of clusters in a dataset. The purpose of this paper is to compare the performance of seven of these techniques, including traditional ones, and somerecently proposed. All of them produce underestimations of the true number of clusters.However, within this limitation, the gDGCalgorithm appears to be the best. It is the only one that explicitly states a rule for cutting a dendrogram on the basis of a testinghypothesis framework, allowing the user to calibrate the sensitivity, adjusting the significance level.
