Downstream analysis =================== scCS downstream analysis begins only after the supervised topology, ordering, velocity graph, anchor diagnostics, and future-fate sensitivity checks are acceptable. Expression on the star ---------------------- ``plot_gene_expression_star`` places measured expression on the same standardized cell positions used for scCS metrics. It is a visualization of expression, not a new scoring model. Use shared scales when comparing conditions and separate scales when genes have very different dynamic ranges. Expression trends ----------------- ``plot_expression_trends`` summarizes binned expression along ordering, Conditional Fate Affinity, fate contribution, or Resolved Commitment. Binned means are descriptive and should not be treated as independent observations. Candidate commitment-associated genes ------------------------------------- ``get_commitment_associated_genes`` estimates partial rank associations between gene expression and a fitted scCS outcome. * ``inference_unit="cell_exploratory"`` is candidate generation only. * ``inference_unit="replicate"`` aggregates biological replicate units before formal inference and is preferred when genuine replicate metadata exist. * Association is not proof of a causal lineage driver. Fate markers ------------ ``get_fate_markers`` compares each annotated terminal population with the root. These markers describe cell identity and are distinct from genes associated with variation in future-fate commitment within the root. Enrichment ---------- ``run_commitment_enrichment`` accepts a local mapping or GMT file. Local gene sets and an assay-specific background are preferred for publication-grade reproducibility. Remote Enrichr libraries are optional and can change over time. Interpretation order -------------------- A defensible downstream analysis reports: #. velocity model and selected topology; #. ordering and its validation; #. DFFP parameters and anchor diagnostics; #. CFA, DFR, FFS, RC, UFP, and SOF; #. candidate genes or markers; #. gene-set source, background, and enrichment thresholds; #. biological replicate unit for any inferential claim. See the pancreas and Schwann downstream-analysis tutorials for complete examples.