API

Import graphvelo as:

import graphvelo
import graphvelo.plot

Core

graph_velocity.GraphVelo(adata[, xkey, ...])

GraphVelo encapsulates the workflow for learning a manifold-constrained velocity projection.

GAM

fit_velo_peak(adata, genes, tkey[, layer, ...])	Identify the peak velocity (i.e. maximum predicted value) for each gene using GAM.
fit_gene_trend(adata, genes, tkey[, layer, ...])	Fit gene expression trends over a given time or pseudotime variable using Generalized Additive Models (GAMs) and return the predictions in an AnnData object.
fit_response(adata, pairs_mat[, xkey, ykey, ...])	Fit response curves for gene pairs and generate a grid of GAM predictions.