Gene expression levels from real-time quantitative polymerase chain reaction (qPCR) experiments on two different plant lines. Each line was used for 7 experiments each with 45 cycles.
A data frame with 630 observations on the following 4 variables.
| ||numeric||Fluorescence level|
||factor|| Plant lines
| ||numeric||Cycle number for the experiment|
| ||factor||Transcript used for the different runs|
Morant, M. et al. (2010). Metabolomic, Transcriptional, Hormonal and Signaling Cross-Talk in Superroot2. Molecular Plant. 3, p.192–211.
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data(qpcr) # # Analyze a single run for the wt line, transcript 1 # run1 <- subset(qpcr, transcript==1 & line=="wt") model <- nls(flour ~ fmax/(1+exp(-(cycle-c)/b))+fb, start=list(c=25, b=1, fmax=100, fb=0), data=run1) print(model) plot(run1$cycle, run1$flour, xlab="Cycle", ylab="Fluorescence") lines(run1$cycle, predict(model))
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