sample_technicalVariance-methods

sample_technicalVariance,aclinicalProteomicsData-method


 Methods for function <code>sample_technicalVariance</code> are
 defined with class "aclinicalProteomicsData" in the signature.


methods

Methods for the nalysis of data from clinical proteomic
profiling studies. The focus is on the studies of human
subjects, which are often observational case-control by design
and have technical replicates. A method for sample size
determination for planning these studies is proposed. It
incorporates routines for adjusting for the expected
heterogeneities and imbalances in the data and the
within-sample replicate correlations.

Stephen Nyangoma

clippda

A package for the clinical proteomic profiling data analysis

sample_technicalVariance-methods function

<dl> <dt>Data = "aclinicalProteomicsData"</dt><dd>This is a class object for the mass spectrometry data sets, which 
are in the same format as the raw data from the Biomarkers wizard software. 
It has slots of matrices of raw mass spectrometry and phenotypic data sets, a 
character variable for the classes of all the covariates in the phenotypic data 
matrix, a character variable for the covariates of interest, and numeric value for 
the number of peaks of interest. See also <code>aclinicalProteomicsData-class</code>.
</dd> </dl>

Methods

Methods for function <code>sample_technicalVariance</code> are
 defined with class "aclinicalProteomicsData" in the signature.

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sample_technicalVariance-methods: Methods for Function sample_technicalVariance

Description

Arguments

Methods