Description Usage Arguments Value Author(s)
View source: R/np_cell_ordering_class.R
The function runs a Gibbs sampler for a number of iterations to obtain the estimates of cell times on cell cycle (modulo rotation) as well as the gene features (smoothing fit)
| 1 2 | np_cell_ordering_class(cycle_data, celltime_levels, num_iter,
  method = c("LOESS", "B-spline", "Wavelet"), save_path = NULL)
 | 
| num_iter | The number of iterations to run for the Gibbs sampler scheme | 
| save_path | The file path to save the RDA file containing the information on gene characteristics and the cell ordering times. Default is NULL in which case, it will not save output | 
| cycle_data: | a N x G matrix, where N is number of cells, G number of genes | 
| celltime_levels: | The number of phase classes chosen (The deafult is 100). It splits up circle or the range (0, 2pi) into celltime_levels uniform splits. | 
Returns a list containing the following items
| cell_times | estimated cell times from Gibbs sampler | 
| sigma | The estimated non-signal or noise variation of the genes | 
| loglik | The model log likelihood of the fit | 
| signal_intensity | The intensity of each cell in each of the cell times classes | 
Kushal K Dey
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.