| .scelestial | Internal function for running scelestial algorithm. |
| .synthesis | Internal function for generating synthetic single-cell data through simulation of tumor growth and evolution. |
| as.mutation.matrix | Conversion of ten-state sequencing matrix to 0/1-mutation matrix. |
| as.ten.state.matrix | Conversion of 0/1 matrix to 10-state matrix |
| as.ten.state.matrix.from.node.seq | Generates 10-state sequence matrix from name/10-char string matrix. |
| distance.matrix.scelestial | Calculates distance matrix for result of scelestial |
| distance.matrix.tree | Calculates distance matrix for a nodes on a tree. |
| distance.matrix.true.tree | Calculates distance matrix for a synthetized data |
| Li | Bladder invasive single cell tumor dataset |
| my.dfs | Runs DFS on tree and calculates parent of each node as well as depth and upper-depth of nodes. |
| my.general.dfs | Running depth first search on a tree and calling functions on entrance/exit events |
| read.sequence.table | Read mutation table |
| RScelestial | RScelestial: An R wrapper for scelestial algorithm for single-cell lineage tree reconstruction through an approximation algorithm based on Steiner tree problem |
| scelestial | Infer the single-cell phylogenetic tree |
| synthesis | Synthesize single-cell data through tumor simulation |
| tree.plot | Plotting the tree |