Analysis of Single-Cell Viral Growth Curves
Categorize input data by comparing the AIC values of the three fitted ...
Categorize input data by comparing the AIC values of the three fitted ...
Checks if data is in correct format.
Double Sigmoidal Formula with h0
Double Sigmoidal Formula
Double sigmoidal fit function with h0.
Double sigmoidal fit function with h0.
Generate model associated figures.
Fit and categorize.
multiple fit function h0.
multiple fit function.
Normalization of given data
additional parameter calculation with help of fits
additional parameter calculation with help of fits
Checks for signal in the data.
Check that data came from the same source.
sigmoidalFitFormula_h0
sigmoidalFitFormula
Sigmoidal fit function with h0 estimation
Sigmoidal fit function
Unnormalization of given data
Aims to quantify time intensity data by using sigmoidal and double sigmoidal curves. It fits straight lines, sigmoidal, and double sigmoidal curves on to time vs intensity data. Then all the fits are used to make decision on which model best describes the data. This method was first developed in the context of single-cell viral growth analysis (for details, see Caglar et al. (2018) <doi:10.7717/peerj.4251>), and the package name stands for "SIngle CEll Growth Analysis in R".
Useful links