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10.1093/bioinformatics/btw462 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btw462 C5013919!5013919!27587696     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2016 ; 32 (17): i736-45 Nephropedia Template TP {{tp|p=27587696|t=2016. A weighted exact test for mutually exclusive mutations in cancer |pdf=|usr=}}{{27587696}} gab.com Text A weighted exact test for mutually exclusive mutations in cancer JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27587696 #FOAvip Motivation: The somatic mutations in the pathways that drive cancer development tend to be mutually exclusive across tumors, providing a signal for distinguishing driver mutations from a larger number of random passenger mutations. This mutual exclusivity signal can be confounded by high and highly variable mutation rates across a cohort of samples. Current statistical tests for exclusivity that incorporate both per-gene and per-sample mutational frequencies are computationally expensive and have limited precision.Results: We formulate a weighted exact test for assessing the significance of mutual exclusivity in an arbitrary number of mutational events. Our test conditions on the number of samples with a mutation as well as per-event, per-sample mutation probabilities. We provide a recursive formula to compute P-values for the weighted test exactly as well as a highly accurate and efficient saddlepoint approximation of the test. We use our test to approximate a commonly used permutation test for exclusivity that conditions on per-event, per-sample mutation frequencies. However, our test is more efficient and it recovers more significant results than the permutation test. We use our Weighted Exclusivity Test (WExT) software to analyze hundreds of colorectal and endometrial samples from The Cancer Genome Atlas, which are two cancer types that often have extremely high mutation rates. On both cancer types, the weighted test identifies sets of mutually exclusive mutations in cancer genes with fewer false positives than earlier approaches.Availability and Implementation: See http://compbio.cs.brown.edu/projects/wext for software.Contact:braphael@cs.brown.eduSupplementary information:Supplementary data are available at Bioinformatics online. Twit Text FOAVip A weighted exact test for mutually exclusive mutations in cancer ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=27587696 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27587696 #FOAvip English Wikipedia <ref>{{Cite pmid|27587696}}</ref> A weighted exact test for mutually exclusive mutations in cancer #MMPMID27587696 Leiserson MD; Reyna MA; Raphael BJ Bioinformatics 2016[Sep]; 32 (17): i736-45 PMID27587696show ga Motivation: The somatic mutations in the pathways that drive cancer development tend to be mutually exclusive across tumors, providing a signal for distinguishing driver mutations from a larger number of random passenger mutations. This mutual exclusivity signal can be confounded by high and highly variable mutation rates across a cohort of samples. Current statistical tests for exclusivity that incorporate both per-gene and per-sample mutational frequencies are computationally expensive and have limited precision.Results: We formulate a weighted exact test for assessing the significance of mutual exclusivity in an arbitrary number of mutational events. Our test conditions on the number of samples with a mutation as well as per-event, per-sample mutation probabilities. We provide a recursive formula to compute P-values for the weighted test exactly as well as a highly accurate and efficient saddlepoint approximation of the test. We use our test to approximate a commonly used permutation test for exclusivity that conditions on per-event, per-sample mutation frequencies. However, our test is more efficient and it recovers more significant results than the permutation test. We use our Weighted Exclusivity Test (WExT) software to analyze hundreds of colorectal and endometrial samples from The Cancer Genome Atlas, which are two cancer types that often have extremely high mutation rates. On both cancer types, the weighted test identifies sets of mutually exclusive mutations in cancer genes with fewer false positives than earlier approaches.Availability and Implementation: See http://compbio.cs.brown.edu/projects/wext for software.Contact:braphael@cs.brown.eduSupplementary information:Supplementary data are available at Bioinformatics online. äA weighted exact test for mutually exclusive mutations in cancer (epmc).pdf DeepDyve Pubget Overpricing