plot2dTppFit {TPP2D} | R Documentation |
Plot H0 or H1 fit of 2D thermal profile intensities of a protein of choice
plot2dTppFit( df, name, model_type = "H0", optim_fun = .min_RSS_h0, optim_fun_2 = NULL, maxit = 500, xlab = "-log10(conc.)", ylab = "log2(summed intensities)" )
df |
tidy data frame of a 2D-TPP dataset |
name |
gene name (clustername) of protein that should be visualized |
model_type |
character string indicating whether the "H0" or the "H1" model should be fitted |
optim_fun |
optimization function that should be used for fitting either the H0 or H1 model |
optim_fun_2 |
optional additional optimization function that will be run with paramters retrieved from optim_fun and should be used for fitting the H1 model with the trimmed sum model, default is NULL |
maxit |
maximal number of iterations the optimization should be given, default is set to 500 |
xlab |
character string of x-axis label of plot |
ylab |
character string of y-axis label of plot |
A ggplot displaying the thermal profile of a protein of choice in a datset of choice
data("simulated_cell_extract_df") plot2dTppProfile(simulated_cell_extract_df, "protein1")