EINLADUNG

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Dortmund, 17. Juli 2008
EINLADUNG
Im Rahmen des Kolloquiums des Fachbereichs Informatik wird
Dr. Tim Beissbarth
DKFZ Heidelberg
einen Vortrag halten mit dem Titel
Nested Effects Models for Learning Signaling Networks from Perturbation Data
ORT:
ZEIT:
OH14/E04
Montag, 11. August 2008, 14:00 Uhr
ZUSAMMENFASSUNG:
Targeted gene perturbations have become a major tool to gain insight into complex
cellular processes. In combination with the measurement of downstream effects
via DNA microarrays this approach can be used to gain insight into signaling pathways. Nested Effects Models (NEMs) were first introduced by Markowetz et al.
as a probabilistic method to reverse engineer signaling cascades based on the
nested structure of downstream perturbation effects. The basic framework was
substantially extended later on by Froehlich et al., Markowetz et al., and Tresch
and Markowetz. In this seminar an overview over methodology is given and a
comparison of algorithms on a qualitative and quantitative level is presented. The
results are demonstrated on estimating the signaling network between 13 genes
in the ER-pathway of human MCF-7 breast cancer cells.
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