A dataset containing the \(C_T\) values of two genes from a controlled serial
 dilution qPCR experiment. The data were prepared from four different dilutions
 (10, 2, 0.4 and 0.08) and two control groups; control and treatment (n = 12) each.

datasets

Calculates the amplification efficiency and curves from real-time
quantitative PCR (Polymerase Chain Reaction) data. Estimates the relative
expression from PCR data using the double delta CT and the standard curve
methods Livak & Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Tests for
statistical significance using two-group tests and linear regression
Yuan et al. (2006) <doi: 10.1186/1471-2105-7-85>.

Mahmoud Ahmed

Analyzing Real-Time Quantitative PCR Data

ct4 function

A data.frame with 24 rows and 2 variables:<dl class="dl-horizontal">
 <dt>ref</dt><dd>\(C_T\) values of the reference gene</dd>
 <dt>target</dt><dd>\(C_T\) values of the target gene</dd>
</dl>

Format

\(C_T\) values from qPCR (Serial dilutions) — ct4

A data.frame with 24 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>ref</dt><dd>\(C_T\) values of the reference gene</dd>
 <dt>target</dt><dd>\(C_T\) values of the target gene</dd>
</dl>

ct4: \(C_T\) values from qPCR (Serial dilutions)

Description

Usage

Arguments

Format