| computeSurvivalPValueGenePairAll.output | R Documentation | 
This function is similar to computeSurvivalPValueForGenePairSet.output, except that individuals in data.mut and data.surv should match, and that gene.pairs contains four columns: gene1, mutation type of gene1, gene2, mutation type of gene2.
computeSurvivalPValueGenePairAll.output(file.out, 
	gene.pairs, data.mut, data.surv, 
	colTime = 2, colStatus = 3, 
	groups = c("All", "Two"), 
	PRINT = FALSE, PRINT.INDEX = FALSE)
| file.out | Output filename. | 
| gene.pairs | Matrix of four columns: gene1, mutation type of gene1, gene2, mutation type of gene2. | 
| data.mut | Integer matrix of genes by cases. The first column contains gene names. Each of the other columns contains mutation patterns of a case: 0 as wildtype, 1 amplification and -1 deletion. | 
| data.surv | Data frame containing case ID, survival time and survival status.  Cases should match those in  | 
| colTime | Scalar indicating which column in  | 
| colStatus | A character string indicating which column in  | 
| groups | "All" if comparing all combinations: wildtype & wildtype, wild type & mutated, both mutated; or "Two", if only comparing single mutation and double mutation. | 
| PRINT | Default is FALSE. Prints intermediate values if set to TRUE. Output may be massive if the number of gene pairs is large. | 
| PRINT.INDEX | Default is FALSE. Unused. | 
Audrey Q. Fu, Xiaoyue Wang
Wang, X., Fu, A. Q., McNerney, M. and White, K. P. (2014). Widespread genetic epistasis among breast cancer genes. Nature Communications. 5 4828. doi: 10.1038/ncomms5828
Called by computeSurvivalPValueForGenePairSet.output
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