View source: R/getBinaryMutationData.R
getBinaryMutationData | R Documentation |
Compute a binary gene mutation data matrix from SNP and other mutation event-level data.
getBinaryMutationData(
mutInfo,
mutData,
maxVariantFreq = 0.2,
maxNormalPopulationFreq = 0.005,
maxSiftScore = 0.05,
minPolyPhenScore = 0.85
)
mutInfo |
A data frame with the following named columns: Gene, the name of the gene associated with the mutation event; probe.ids, a unique identifier specifying the mutation event; SNP_1000_genome, the frequency of the mutation event in SNP 1000; ESP5400, the frequency of the mutation event in ESP5400; SNP_type, the type of mutation event, chosen from "MISSENSE", "FRAMESHIFT", "NONFRAMESHIFT", "NONSENSE", "SPLICING"; SIFT_score, the SIFT score; Polyphen_score, the POLYPHEN score. Rownames of mutInfo should be set to probe.ids, i.e., the unique mutation event specifier. |
mutData |
A matrix with event level mutation information, with SNPs, etc. along rows and samples along columns. Rownames of mutData should exactly match those of mutInfo. The i-th row of mutInfo should thus give detailed information for the mutation event with data specified in the i-th row of mutData. |
maxVariantFreq |
The maximum proportion of mutant samples (used to exclude frequently occuring events); default value = 0.2. |
maxNormalPopulationFreq |
The maximum freqency of a mutation in the normal population (used to exclude likely germline variants); default value = 0.005. |
maxSiftScore |
The maximum accepted SIFT score (used to exclude presumed non-deleterious mutations); default value = 0.05. |
minPolyPhenScore |
The minimum accepted POLYPHEN score (used to exclude presumed non-deleterious mutations); default value = 0.85. |
A binary gene mutation matrix, with genes along rows, samples along columns, and 1s indicating deleterious mutations.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.