data_1factor_one_ref_Eff

Sample qPCR data (two different conditions)

internal

Tools for qPCR data analysis using Delta Ct and Delta Delta Ct methods, including t-tests, ANOVA, ANCOVA, repeated-measures models, and publication-ready visualizations. The package supports multiple target, and multiple reference genes, and uses a calculation framework adopted from Ganger et al. (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019) <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl methods.

Ghader Mirzaghaderi

rtpcr

qPCR Data Analysis

data_1factor_one_ref_Eff function

A data frame with 6 observations and 6 variables:<dl>
 <dt>Con</dt>
<dd>Experimental conditions</dd> <dt>r</dt>
<dd>Biological replicates</dd> <dt>target</dt>
<dd>Amplification efficiency of target gene</dd> <dt>target_Ct</dt>
<dd>Ct values of target gene</dd> <dt>Actin</dt>
<dd>Amplification efficiency of reference gene</dd> <dt>Actin_Ct</dt>
<dd>Ct values of reference gene</dd>
</dl>

Format

Sample qPCR data (two different conditions) — data_1factor_one_ref_Eff

A data frame with 6 observations and 6 variables:<dl>
 <dt>Con</dt>
<dd>Experimental conditions</dd>

 <dt>r</dt>
<dd>Biological replicates</dd>

 <dt>target</dt>
<dd>Amplification efficiency of target gene</dd>

 <dt>target_Ct</dt>
<dd>Ct values of target gene</dd>

 <dt>Actin</dt>
<dd>Amplification efficiency of reference gene</dd>

 <dt>Actin_Ct</dt>
<dd>Ct values of reference gene</dd>


</dl>

data_1factor_one_ref_Eff: Sample qPCR data (two different conditions)

Description

Usage

Arguments

Format