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visualization.motif

visualize_motif_thresholding​

def visualize_motif_thresholding(
    config: dict,
    segmentation_algorithm: Literal["hmm", "kmeans"] = "hmm",
    n_clusters: int | None = None,
    threshold: float = 1.0,
    show_figure: bool = True,
    save_to_file: bool = False,
    fig_size: tuple = (10, 6)) -> None

Visualizes the motif usage with thresholding.

Parameters

  • segmentation_algorithm (Literal["hmm", "kmeans"], optional): Segmentation algorithm, by default "hmm".
  • n_clusters (Optional[int], optional): Number of clusters, by default None. If None, it uses the value from config["n_clusters"].
  • threshold (float, optional): Threshold, by default 1.0.
  • show_figure (bool, optional): Whether to show the figure, by default True.
  • save_to_file (bool, optional): Whether to save the figure to file, by default False.
  • fig_size (tuple, optional): Figure size, by default (10, 6).

Returns

  • None