Bootstrap Evaluation of Association Matrices
Check that each element of a list is of a required class
Clean up bootstrap coefficient matrix
Compute bootstrap model coefficients for BEAM
Compute feature level p-values from BEAM statistics
Compute BEAMR p-values for sets
Extend set definition data with genes on the same row separated by com...
Extract beam stats for a specific set
Find the column of mtch.data with the most rows containing an element ...
Check that beam.specs satisfies all necessary conditions
Generate BEAM Plot List
For each row of the data.frame main.data, find the index of the matchi...
Plot bootstrap output for BEAM sets
Plot BEAM Sets
Plot BEAM Feature
Prepare data for BEAM analysis
Prepare for BEAM plotting
Prepare beam.specs
Print summary information about a beam.data object
Print summary information about beam.stats object
Subset beam.stats Result
A bootstrap-based approach to integrate multiple forms of high dimensional genomic data with multiple clinical endpoints. This method is used to find clinically meaningful groups of genomic features, such as genes or pathways. A manuscript describing this method is in preparation.
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