Description Usage Arguments Value Examples
Function for obtaining the binary form for a matrix for multivariate divergence of data given a baseline range
1 | computeMultivariateBinaryMatrix(Mat, Baseline)
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Mat |
Matrix of data to be digitized, in [0, 1], with each column corresponding to a sample and each row corresponding to a feature; usually in quantile form. |
Baseline |
A Baseline object; this corresponds to the output of findMultivariateGammaWithSupport() or computeMultivariateSupport() |
A matrix with the same columns as Mat, with rows being the multivariate features, containing the binary form data.
1 2 3 4 5 6 | baseMat = breastTCGA_Mat[, breastTCGA_Group == "NORMAL"]
baseMat.q = computeQuantileMatrix(baseMat)
baseline = computeMultivariateSupport(Mat=baseMat.q, FeatureSets=msigdb_Hallmarks)
dataMat = breastTCGA_Mat[, breastTCGA_Group != "NORMAL"]
dataMat.q = computeQuantileMatrix(dataMat)
divMat = computeMultivariateBinaryMatrix(Mat=dataMat.q, Baseline=baseline)
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