N2N - CS seminar - Mark van de Wiel - Empirical Bayes in Genomics - 11/12@15h

You are cordially invited to the following seminar organized jointly by N2N (From Nucleotides to Networks) and CS (Center for Statistics - Adolphe Quetelet Seminar Series).

"How to learn from a lot: Empirical Bayes in Genomics" by Dr. Mark van de Wiel.

The seminar is scheduled on Thursday December 11 at 15h00 at Monasterium PoortAckere, room Sint-Lucas, Oude Houtlei 56, 9000 Gent (prior to the PhD defence of Bie Verbist on "Low-Frequency Variant Detection in Viral Populations using Massively Parallel Sequencing Data").

Dec/11 15:00
Monasterium PoortAckere, room Sint-Lucas, Oude Houtlei 56, 9000 Gent

N2N - CS seminar on Empirical Bayes in Genomics by Mark van de Wiel

The high-dimensional character of genomics data generally forces statistical inference methods to apply some form of penalization, e.g. multiple testing, penalized regression or sparse gene networks. The other side of the coin, however, is that the dimension of the variable space may also be used to learn across variables (like genes, tags, methylation probes, etc). Empirical Bayes is a powerful principle to do so. In both the Bayesian and frequentist paradigms it comes down to estimation of the a priori distribution of parameter(s) from the data.


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