Package: clippda
Title: A package for the clinical proteomic profiling data analysis
Version: 1.16.0
Date: 2011/09/16
Author: Stephen Nyangoma
Description: 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.
Depends: R (>= 2.13.1),limma, statmod, rgl, lattice, scatterplot3d,
        graphics, grDevices, stats, utils, Biobase, tools, methods
Maintainer: Stephen Nyangoma <s.o.nyangoma@bham.ac.uk>
License: GPL (>=2)
Collate: checkNo.replicates.R sampleClusteredData.R
        sampleSize3DscatterPlots.R sampleSizeContourPlots.R
        mostSimilarTwo.R negativeIntensitiesCorrection.R
        phenoDataFrame.R preProcRepeatedPeakData.R spectrumFilter.R f.R
        ztwo.R ZvaluescasesVcontrolsPlots.R ZvaluesfrommultinomPlots.R
        betweensampleVariance.Generic.R fisherInformation.Generic.R
        proteomicsExprsData.Generic.R proteomicspData.Generic.R
        replicateCorrelations.Generic.R sampleSizeGeneric.R
        sampleSizeParameters.Generic.R
        sample_technicalVaraiance.Generic.R
        aclinicalProteomicData.class.R aclinicalProteomicData.methods.R
        betweensampleVariance.Method.R fisherInformation.Method.R
        proteomicsExprsData.Method.R proteomicspData.Method.R
        replicateCorrelations.Method.R sampleSizeMethod.R
        sampleSizeParameters.Method.R sample_technicalVariance.Method.R
LazyLoad: yes
ZipData: yes
URL: http://www.cancerstudies.bham.ac.uk/crctu/CLIPPDA.shtml
Packaged: 2014-10-14 02:48:55 UTC; biocbuild
biocViews: Proteomics, OneChannel, Preprocessing,
        DifferentialExpression, MultipleComparison
Built: R 3.1.1; ; 2014-10-14 07:18:23 UTC; windows
