compute_feature_pvalues

Compute feature level p-values from BEAM statistics

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.

Anna Eames Seffernick

BEAMR

Bootstrap Evaluation of Association Matrices

Stanley Pounds

Xueyuan Cao

compute_feature_pvalues function

<dl><dt>beam.stats</dt>
<dd>A beam.stats object, which is a list with beam.stats (the association matrices), the beam.specs, and the beam.data</dd></dl>

Arguments

Compute feature level p-values from BEAM statistics — compute_feature_pvalues

<dl>

<dt>beam.stats</dt>
<dd>A beam.stats object, which is a list with beam.stats (the association matrices), the beam.specs, and the beam.data</dd>

</dl>

compute_feature_pvalues: Compute feature level p-values from BEAM statistics

Description

Usage

Value

Arguments

Examples