qpcrBatch.object


  This is an artifically generated qPCR data set. The data set 
  has been closely simulated from original data for 2396 genes on 13 time points. 
  Each measurement within the one sample was repeated over three replicate wells, 
  across multiple plates.  


datasets

The package contains functions to perform normalization of high-throughput qPCR data. Basic functions for processing raw Ct data plus functions to generate diagnostic plots are also available.

Jessica Mar

qpcrNorm

Data-driven normalization strategies for high-throughput qPCR data.

qpcrBatch.object function

A data frame with 2396 observations on the following 41 variables.
  <dl>
    <dt><code>Primers</code></dt><dd> Character vector of gene or primer pair names. </dd> <dt><code>Plate_Index</code></dt><dd> Numeric vector denoting plate indices. </dd> <dt><code>Time1_Rep1</code></dt><dd> Ct values for first time point, first replicate. </dd> <dt><code>Time1_Rep2</code></dt><dd> Ct values for first time point, second replicate. </dd> <dt><code>Time1_Rep3</code></dt><dd> Ct values for first time point, third replicate. </dd> </dl> 

Format

This is an artifically generated qPCR data set. The data set 
  has been closely simulated from original data for 2396 genes on 13 time points. 
  Each measurement within the one sample was repeated over three replicate wells, 
  across multiple plates.

qpcrBatch.object: qpcrBatch instance qpcrBatch.object

Description

Usage

Arguments

Format

Examples