![](/images/graphics-bg.png)
How to Group Genes according to Expression Profiles?
Joint Authors
Fernández, Paula
Di Rienzo, Julio A.
Valdano, Silvia G.
Source
International Journal of Plant Genomics
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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 is decided on heuristic criteria or through the application of different methods proposed to assess the number of clusters in a data set.
The purpose of this paper is to compare the performance of seven of these techniques, including traditional ones, and some recently proposed.
All of them produce underestimations of the true number of clusters.
However, within this limitation, the gDGC algorithm appears to be the best.
It is the only one that explicitly states a rule for cutting a dendrogram on the basis of a testing hypothesis framework, allowing the user to calibrate the sensitivity, adjusting the significance level.
American Psychological Association (APA)
Di Rienzo, Julio A.& Valdano, Silvia G.& Fernández, Paula. 2011. How to Group Genes according to Expression Profiles?. International Journal of Plant Genomics،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-458422
Modern Language Association (MLA)
Di Rienzo, Julio A.…[et al.]. How to Group Genes according to Expression Profiles?. International Journal of Plant Genomics No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-458422
American Medical Association (AMA)
Di Rienzo, Julio A.& Valdano, Silvia G.& Fernández, Paula. How to Group Genes according to Expression Profiles?. International Journal of Plant Genomics. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-458422
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458422