Geneset-based cancer survival analysis: On the non-uniform distributiuon of p-values under the null hypothesis
Poster Aug 11, 2009
Although null p-values are assumed to be uniformly distributed in gene expression experiments, the actual distribution often deviates from the assumed distribution. This can incorrectly associate the biology of a geneset with cancer prognosis in geneset-based survival studies. To assess the implications of this, a geneset-based method was developed. This method empirically approximates the distribution of null p-values and tests whether predefined sets of biologically-related genes are associated with survival.
We show that network analysis of co-localized ions from mass spectrometry imaging data provides a detailed chemo-spatial insight into the metabolic heterogeneity of tumors. Furthermore, module preservation analysis between colorectal cancer patients with and without metastatic recurrence suggests hypotheses on the nature of the different local metabolic pathways.READ MORE