amp.eff | amplification efficiencies and experimental Cq1 (optional... |
beckham.data | Cellular heat stress response data. |
beckham.eff | amplification efficiencies for beckham.data |
coral.stress | RT-qPCR of stress response in coral Porites astreoides |
cq2counts | Prepares qRT-PCR data for mcmc.qpcr analysis |
cq2genorm | Reformats raw Ct data for geNorm analysis (non-parametric... |
cq2log | Prepares qRT-PCR data for mcmc.qpcr analysis using lognormal... |
diagnostic.mcmc | Plots three diagnostic plots to check the validity of the... |
dilutions | Data to determine amplification efficiency |
getNormalizedData | Extracts qPCR model predictions |
HPDplot | Plotting fixed effects for all genes for a single combination... |
HPDplotBygene | Plots qPCR analysis results for individual genes. |
HPDplotBygeneBygroup | Plots qPCR analysis results for individual genes |
HPDpoints | HPDplot, HPDpoints |
HPDsummary | Summarizes and plots results of mcmc.qpcr function series. |
mcmc.converge.check | MCMC diagnostic plots |
mcmc.pval | calculates p-value based on Bayesian z-score or MCMC sampling |
mcmc.qpcr | Analyzes qRT-PCR data using generalized linear mixed model |
mcmc.qpcr.classic | Analyzes qRT-PCR data using "classic" model, based on... |
mcmc.qpcr.lognormal | Fits a lognormal linear mixed model to qRT-PCR data. |
MCMC.qpcr-package | Bayesian analysis of qRT-PCR data |
normalize.qpcr | Internal function called by mcmc.qpcr.classic |
outlierSamples | detects outlier samples in qPCR data |
padj.hpdsummary | Adjusts p-values within an HPDsummary() object for multiple... |
padj.qpcr | Calculates adjusted p-values corrected for multiple... |
PrimEff | Determines qPCR amplification efficiencies from dilution... |
softNorm | Accessory function to mcmc.qpcr() to perform soft... |
summaryPlot | Wrapper function for ggplot2 to make bar and line graphs of... |
trellisByGene | For two-way designs, plots mcmc.qpcr model predictions gene... |
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