mafCompare {maftools} | R Documentation |
compare two cohorts (MAF).
mafCompare( m1, m2, m1Name = NULL, m2Name = NULL, minMut = 5, useCNV = TRUE, pathways = FALSE, custom_pw = NULL, pseudoCount = FALSE )
m1 |
first |
m2 |
second |
m1Name |
optional name for first cohort |
m2Name |
optional name for second cohort |
minMut |
Consider only genes with minimum this number of samples mutated in atleast one of the cohort for analysis. Helful to ignore single mutated genes. Default 5. |
useCNV |
whether to include copy number events. Default TRUE if available.. Not applicable when 'pathways = TRUE' |
pathways |
Summarize genes by pathways before comparing. Default 'FALSE' |
custom_pw |
Optional. Can be a two column data.frame/tsv-file with pathway-name and genes involved in them. Default 'NULL', uses a predefined list of pathways. Applicable only when 'pathways = TRUE' |
pseudoCount |
If TRUE, adds 1 to the contingency table with 0's to avoid 'Inf' values in the estimated odds-ratio. |
Performs fisher test on 2x2 contigency table generated from two cohorts to find differentially mutated genes.
result list
primary.apl <- system.file("extdata", "APL_primary.maf.gz", package = "maftools") relapse.apl <- system.file("extdata", "APL_relapse.maf.gz", package = "maftools") primary.apl <- read.maf(maf = primary.apl) relapse.apl <- read.maf(maf = relapse.apl) pt.vs.rt <- mafCompare(m1 = primary.apl, m2 = relapse.apl, m1Name = 'Primary', m2Name = 'Relapse', minMut = 5)