readExperimentalData: Reading all necessary data.
In tbuder/CellTrans: Quantifying stochastic cell state transitions
Description
This function opens a dialog box which asks for the number of cell types, the names of the cell types, the time step length and the time points of measurement. Then, the files containing the cell state proportion matrices can be selected. First, the initial experimental setup matrix can either be chosen as identity matrix (for pure initial cell populations) or a custom initial matrix can be provided. Then, the experimental cell proportion matrices are read for each time point of measurement. It is recommended to save the input into a variable for the further analysis, e.g. input <- readExperimentalData().
Usage
1
tbuder/CellTrans documentation built on May 31, 2019, 7:27 a.m.
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Description
This function opens a dialog box which asks for the number of cell types, the names of the cell types, the time step length and the time points of measurement. Then, the files containing the cell state proportion matrices can be selected. First, the initial experimental setup matrix can either be chosen as identity matrix (for pure initial cell populations) or a custom initial matrix can be provided. Then, the experimental cell proportion matrices are read for each time point of measurement. It is recommended to save the input into a variable for the further analysis, e.g. input <- readExperimentalData().
Usage
1 |
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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