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0 · September 5, 2012
Abstract of Amir's talk:
Summary of the Talk:
Over-representation analysis (e.g. using the distribution of hypergeometric probabilities) is a widely used approach for interpreting biological high-throughput experiments: Given a list of genes with observed modified behaviour in a particular disease vs. healthy control , and an ontology describing what higher level processes / 'pathways' (e.g. inflammation, cell cycle) each gene is generally known to engage in, determine which (if any) pathways are statistically enriched among the observed genes and are hence likely to be perturbed/dysregulated in the condition of interest. The idea is that identifying such perturbed pathways might be helpful towards a better understanding of the mechanisms that lead to the disease, or in deciding how to restore the balance by targeting the key regulators of the affected pathways.
0 · August 21, 2012
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