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Webinar: "Microarray Analysis with Bayesian Networks"

27 avril 2011

Ce webinar est planifié le 19 mai de 19h à 20h, heure française.

 

With this webinar we turn to the field of cancer classification by means of microarray analysis. Microarray analysis is a technique for gene expression profiling of cell samples. Expression profiles indicate which genes are currently active among thousands of genes. The activation of certain genes can indicate the type and the current state of a cell.

One of the challenges in microarray analysis is the sheer number of genes, which could potentially be predictors in a classification model. At the same time, the number of observations tends to be small. So, it is not uncommon to have thousands of predictors while only having a few dozens of samples. It is precisely the opposite of what one would hope to have for a traditional statistical analysis.

Our objective is to show that our modeling approach with Bayesian networks (as the framework) and BayesiaLab (as the software tool) can quickly and effectively generate models of equal or better classification performance compared to models documented in literature, while only requiring a minimum of specification effort from the research analyst.

To register for this webinar, please sign up here: https://www3.gotomeeting.com/register/586671166