ComputeCE: Convergent Evidence (CE) scores of genes.
In chakri9/GenRank: Candidate gene prioritization based on convergent evidence

Description Usage Arguments Value Examples

ComputeCE returns ranks of the genes based on CE scores.

1	ComputeCE(file, PC = c("equal", "ngene", "custom"), cust.weights = NULL)

`file`	A tab-delimited text file with a minimum of 2 columns. First column should contain gene names and second column should indicate the evidence type.
`PC`	A character string among 'equal', 'ngene' or 'custom' indicating the prior credibility.
`cust.weights`	An optional argument required when the PC='custom'. A numeric vector containing weights reflecting prior credibility. Should contain as many weights as the number of evidence types.

If all the inputs are in the correct format as suggested, then the output will be a dataframe containing genes and their ranks based on CE scores.

input_file <- system.file("extdata","CE_RP_toydata.txt",package="GenRank")
CE_ranks <- ComputeCE(input_file,PC = "equal")
evid.weight <- c(1,1,0.8,0.8,0.5,1)
CE_ranks_cust <- ComputeCE(input_file,PC = "custom", cust.weights = evid.weight)