Man pages for gongx030/tcm
TCM visualizes trajectories and cell populations from single cell data
| add.paths | add.paths |
| add.paths.landscape | Plot the paths on the prototype landscape |
| as.igraph | as.igraph |
| as.igraph.landscape | Get an igraph object of neighboring graph of the prototype... |
| ccm | Correlated Cell Model |
| ccr | Correlated Cell Regression |
| centers | Add the labels of active prototypes |
| fastmds | fastmds |
| gtm | gtm |
| gtm.core | The generative topographic model |
| jitter2 | Adding an Enclidean noise, x must be in a two dimensional... |
| landscape | landscape |
| ldpois | log density of Poission distribution (faster than dpois(...,... |
| learning.rate | learning rate for stochastic variational inference |
| num2color | num2color |
| plot.tcm | plot.tcm |
| pseudotime.table | Get a time table that consider the pseodotime information |
| set.control | Setting the default values for the arguments for optimizing... |
| sim.rnaseq.ts | sim.rnaseq.ts |
| softmax | softmax |
| split.data | Splitting data into different batches |
| tcm | TCM: A package for visualizing temporal scRNA-seq data |
| tcm.core | The core function for optimizaing TCM |
| trajectory | Find the trajectory |
| update.localvar | updating local variable E[V], E[exp(V)], a and E[Z] |
