2015/05/18 by Jaegil Kim, Kim, Jaegil, Atanas Kamburov +7
Biochemistry, Genetics and Molecular Biology · Medicine · #Cancer Genomics and Diagnostics #FOS: Biological sciences #Gene expression and cancer classification #Genetic factors in colorectal cancer #Genomics (q-bio.GN) #Quantitative Methods (q-bio.QM)
paper · pdf · doi:10.48550/arxiv.1505.04828
openalex publication_date 2015/05/18 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
The increasing observation of mutual exclusivity correlations among cancer gene mutations is a key component for identifying driver events or pathways in cancer genome analysis. Here we report a rigorous statistical method to compute an exact p-value for the beyond-pairwise mutual exclusivity or co-occurrence relationships among cancer gene mutations by enumerating a null distribution of overlapping mutations across more than two genes. The validity and the advantage of our method is explicitly demonstrated in both cancer gene mutations and simulation data through the comparison to the permutation test.