29.04.2017 - 11:33
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Veranstaltungen

Human Fine-scale population structure
May 02, 2017 11:00
Speaker: Benjamin Peter (Department of Human Genetics, University of Chicago)
Talk at the Department of Evolutionary Genetics

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Location:
Seminar Area Genetics

Contact:
Viola Mittag
phone + 49 (0) 341 3550 500

E-mail: mittag[>>> Please replace the brackets with an AT sign! <<<]eva.mpg.de
Website: http://www.eva.mpg.de/genetics

The analysis of genetic interactions from gene expression data. From Wright's path coefficients to networked partial correlations.
May 05, 2017 11:15
Speaker: Robert Castelo (Dept. of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona)
Talk at the Department of Evolutionary Genetics

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Location:
Seminar Area Genetics

Abstract:
Genetic interactions confer robustness on cells in response to genetic perturbations. This often occurs through molecular buffering mechanisms that can be predicted by using, among other features, the degree of coexpression between genes, which is commonly estimated through marginal measures of association such as Pearson or Spearman correlation coefficients. However, marginal correlations are sensitive to indirect effects and often partial correlations are used instead. Yet, partial correlations convey no information about the (linear) influence of the coexpressed genes on the entire multivariate system, which may be crucial to discriminate functional associations from genetic interactions. In this talk I will describe our approach to address these two shortcomings [1] which, in a similar vein to Sewall Wright's path coefficients, uses an edge weight derived from the covariance decomposition over the paths of the associated gene network. We call this new quantity the networked partial correlation and show that it is better suited to analyse genetic interactions in yeast from gene expression data than classical gene coexpression measures.

References:

Roverato and R. Castelo. The networked partial correlation and its application to the analysis of genetic interactions. Journal of the Royal Statistical Society Series C -Applied Statistics, 66:647-665, 2017. http://dx.doi.org/10.1111/rssc.12166


Contact:
Viola Mittag
phone + 49 (0) 341 3550 500

E-mail: mittag[>>> Please replace the brackets with an AT sign! <<<]eva.mpg.de
Website: http://www.eva.mpg.de/genetics