{"prior_id":"start_id","name":"Start cell(s)","description":"One or more start cell identifiers","type":"soft","format":"character vector","example":"C1,C2,C3"}
{"prior_id":"end_id","name":"End cell(s)","description":"One or more end cell identifiers","type":"soft","format":"character vector","example":"C1,C2,C3"}
{"prior_id":"end_n","name":"# end states","description":"The number of end states","type":"soft","format":"integer","example":"1"}
{"prior_id":"start_n","name":"# start states","description":"The number of start states","type":"soft","format":"integer","example":"4"}
{"prior_id":"leaves_n","name":"# leaves","description":"The number of leaves","type":"soft","format":"integer","example":"5"}
{"prior_id":"groups_id","name":"Cell clustering","description":"Named character vector linking the cell identifiers to different states/branches","type":"hard","format":"named character vector","example":"C1=A,C2=B,C3=B"}
{"prior_id":"groups_n","name":"# states","description":"Number of states/branches, including start, end and intermediary states","type":"soft","format":"integer","example":"5"}
{"prior_id":"groups_network","name":"State network","description":"Dataframe containing the known network between states/branches. Contains a from and to column","type":"hard","format":"dataframe(from: character, to: character)","example":"A,B;B,C;B,D"}
{"prior_id":"timecourse_continuous","name":"Time course (continuous)","description":"Named numeric vector linking the cell ids to time points","type":"hard","format":"named double vector","example":"C1=0.1,C2=0.4,C3=0.8"}
{"prior_id":"timecourse_discrete","name":"Time course (discrete)","description":"Named numeric vector linking the cell ids to time course points","type":"hard","format":"named integer vector","example":"C1=1,C2=4,C3=7"}
{"prior_id":"features_id","name":"Marker genes","description":"Genes/features known to be important in the dynamic process","type":"soft","format":"character vector","example":"G1,G2,G3"}
{"prior_id":"dataset","name":"The full dataset","description":"The full dataset, including (if available) the gold standard","type":"hard","format":"dynwrap::wrap_data(...)","example":"dataset.rds/loom/h5"}
{"prior_id":"dimred","name":"A dimensionality reduction","description":"A dimensionality reduction of the cells","type":"soft","format":"named matrix","example":"named matrix[num cells x num dimensions]"}