pheno_urine


 A dataframe containing the sample phenotypic information.


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

pheno_urine function

A data frame with 167 observations on the following 6 variables.
  <dl>
    <dt><code>SpectrumTag</code></dt><dd>a character/numeric vector of sample ID.</dd> <dt><code>Tumor</code></dt><dd>a factor, with levels <code>c</code> and <code>n</code>, describing 
	the sample class</dd> <dt><code>Age</code></dt><dd>a numeric vector of age.</dd> <dt><code>Sex</code></dt><dd>a factor, with levels <code>female</code> and <code>male</code>, indicating gender.</dd> <dt><code>stage</code></dt><dd>a factor,  with levels <code>early</code>, <code>late</code> and <code>normal</code>,
indicating tumor stage.</dd> <dt><code>Protein_conc</code></dt><dd>a numeric vector of urine concentration.</dd> </dl> 

Format

Ward DG, Nyangoma S, Joy H, Hamilton E, Wei W, Tselepis C, Steven N, Wakelam 
MJ, Johnson PJ, Ismail T, Martin A: Proteomic profiling of urine for the detection of colon 
cancer. Proteome Sci. 2008,  16(6):19.

Source

A dataframe containing the sample phenotypic information.

pheno_urine: A dataframe of phenotypic information

Description

Usage

Arguments

Format

Source

References

Examples