The provided data can be a double matrix of expression data or a data.frame with all non-integer (double) columns being treated as expression data features (and the others ignored), or an ExpressionSet.
Holds the information about how the sigma parameter for a DiffusionMap was obtained, and in this way provides a plotting function for the find.sigmas heuristic. You should not need to create a Sigmas object yourself. Provide sigma to DiffusionMap instead or use find.sigmas.
dm.predict
(Package: destiny) :
Predict new data points using an existing DiffusionMap. The resulting matrix can be used in link[=plot.DiffusionMap]{the plot method for the DiffusionMap
Predict new data points using an existing DiffusionMap. The resulting matrix can be used in the plot method for the DiffusionMap
The k parameter for the k nearest neighbors used in DiffusionMap should be as big as possible while still being computationally feasible. This function approximates it depending on the size of the dataset n.