{"input_id":"expression","description":"Expression matrix (sparse)"}
{"input_id":"counts","description":"Raw counts matrix (sparse)"}
{"input_id":"expression_future","description":"Future expression matrix based on RNA velocity (sparse)"}
{"input_id":"start_id","description":"One or more start cell identifiers"}
{"input_id":"end_id","description":"One or more end cell identifiers"}
{"input_id":"end_n","description":"The number of end states"}
{"input_id":"start_n","description":"The number of start states"}
{"input_id":"leaves_n","description":"The number of leaves"}
{"input_id":"groups_id","description":"Named character vector linking the cell identifiers to different states/branches"}
{"input_id":"groups_n","description":"Number of states/branches, including start, end and intermediary states"}
{"input_id":"groups_network","description":"Dataframe containing the known network between states/branches. Contains a from and to column"}
{"input_id":"timecourse_continuous","description":"Named numeric vector linking the cell ids to time points"}
{"input_id":"timecourse_discrete","description":"Named numeric vector linking the cell ids to time course points"}
{"input_id":"features_id","description":"Genes/features known to be important in the dynamic process"}
{"input_id":"dataset","description":"The full dataset, including (if available) the gold standard"}
{"input_id":"dimred","description":"A dimensionality reduction of the cells"}