group_orchestrators

class DensityGroupAnalysisOrchestrator(*, group_controller, pipeline: str, groups=None, channel=None)

Bases: GroupOrchestratorBase

Group-level statistics & plots for density maps.

check_ids_are_unique(gp1_dirs, gp2_dirs) → None

compute_p_values(comparisons: List[Tuple[str, str]], *, channels: Iterable[str], advanced: bool, density_files_suffix: str) → None

compute_stats_tables(comparisons, *, channel: str | None = None, density_suffix: str | None = None, save=True)

Moves the heavy lifting out of the tab:

• runs make_summary per pair (threaded if a wrapper is set)

• returns { (gp1, gp2): { channel: DataFrame } }

density_files_are_comparable(gp1_dirs, gp2_dirs, channel: str, suffix: str = '') → bool

Raise GroupStatsError if density file sizes differ across groups.

find_analysable_channels(*, density_suffix: str | None) → List[str]

Inspects the first sample of the first group to infer which channels have density maps.

find_available_density_suffixes() → List[str]

Scan the first sample’s workspace to find available density suffixes.

plot_density_maps(group_folders: List[str], *, channel: str, density_suffix: str, parent=None)

plot_p_value_maps(comparisons: List[Tuple[str, str]], *, channel: str, suffix: str, advanced: bool = False, parent=None)

run_plots(plot_function, comparisons: List[Tuple[str, str]], *, channel: str, plot_kw_args: Dict) → list[QWebEngineView]

property assets: GroupResultsAssets