stereo.algorithm.spa_track.SpaTrack.ptime_gene_GAM

SpaTrack.ptime_gene_GAM(data, n_jobs=-1)[source]

Fit GAM model by formula gene_exp ~ Ptime.

Call GAM_gene_fit() by multi-process computing to improve operational speed.

Parameters:
  • data (StereoExpData) – the object of data after spt.filter_genes.

  • n_jobs (int) – The number of cores used for computing, by default, -1 means using all cores.

Returns:

A DataFrame containing the columns as follows: - pvalue: calculated from GAM - model_fit: a goodness-of-fit measure. larger value means better fit - pattern: increase or decrease. drection of gene expression changes across time - fdr: BH fdr