UNAGI.dynamic_graphs.buildGraph

Functions

buildEdges(stage1, stage2, midpath, iteration)	calculate the distance between two stages and connect the clusters in two stages with smallest distance with midpath in iterative training
connectNodes(distances[, cutoff])	Connect the clusters in two stages with smallest distance and p-value < cut-off
getandUpadateEdges(total_stage, midpath, ...)	get edges in iterative training.
nodesDistance(rep1, rep2, topgene1, topgene2)	calculate the distance between two stages
reupdateAttributes(adata, stage, results)	update gaussian and gamma rep, top 100 differential genes, cell types of clusters to anndata
updateEdges(edges, midpath, iteration)	updata edges to the anndata database, calculate edges changes.