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lec19_friedman

lec19_friedman - Nir Friedman 7.90 6.874 Lecture Goal is...

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Nir Friedman April 26, 2004 7.90 / 6.874 Lecture Goal is Biological Data -> Biological Insight One approach is Data -> Pattern Discovery A second approach is Data -> Model Begin with a real system (such as yeast) that produces (enironment specific) data DNA sequence Gene expression Protein-protein interaction There is general agreement about how to measure mRNA (gene expression) There is not a single "gold standard" for protein-protein interactions What is a model? Something that explains our observed data Model Components transcript level protein levels protein modifications localization chromatin promoter region Model relationships Could begin by examining pair-wise correlations in absence of a model (no why) Could have a detailed list of equations (perhaps going overboard) It is hard to build a detailed model given the kinds of data that we have discussed Let's look at possible relationships we could model Phosphorolation of a specific protein TF binding to a promoter A specific example - TF binding to a promoter
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