Ejemplo n.º 1
0
def lineage_drivers(
    adata: AnnData,
    lineage: str,
    backward: bool = False,
    n_genes: int = 8,
    ncols: Optional[int] = None,
    use_raw: bool = False,
    title_fmt: str = "{gene} qval={qval:.4e}",
    **kwargs,
) -> None:
    """
    Plot lineage drivers that were uncovered using :func:`cellrank.tl.lineage_drivers`.

    Parameters
    ----------
    %(adata)s
    %(backward)s
    %(plot_lineage_drivers.parameters)s

    Returns
    -------
    %(just_plots)s
    """

    pk = DummyKernel(adata, backward=backward)
    mc = GPCCA(pk, read_from_adata=True, write_to_adata=False)

    if use_raw and adata.raw is None:
        logg.warning("No raw attribute set. Using `adata.var` instead")
        use_raw = False

    direction = DirPrefix.BACKWARD if backward else DirPrefix.FORWARD
    needle = f"{direction} {lineage} corr"

    haystack = adata.raw.var if use_raw else adata.var

    if needle not in haystack:
        raise RuntimeError(
            f"Unable to find lineage drivers in "
            f"`{'adata.raw.var' if use_raw else 'adata.var'}[{needle!r}]`. "
            f"Compute lineage drivers first as `cellrank.tl.lineage_drivers(lineages={lineage!r}, "
            f"use_raw={use_raw}, backward={backward}).`")

    drivers = pd.DataFrame(haystack[[needle, f"{direction} {lineage} qval"]])
    drivers.columns = [f"{lineage} corr", f"{lineage} qval"]
    mc._set(A.LIN_DRIVERS, drivers)

    mc.plot_lineage_drivers(
        lineage,
        n_genes=n_genes,
        use_raw=use_raw,
        ncols=ncols,
        title_fmt=title_fmt,
        **kwargs,
    )
Ejemplo n.º 2
0
                                 save='{}_metastable.png'.format(key))

    g.plot_metastable_states(discrete=True,
                             show=False,
                             dpi=300,
                             legend_fontsize=0,
                             save='{}_discrete_metastable.pdf'.format(key),
                             size=28)
    g.set_final_states_from_metastable_states()
    if key == "H508_EV" or key == "HT29_EV":
        g.compute_absorption_probabilities()
        g.compute_lineage_drivers()
        samples[key].var.to_csv(key + "_lineages.tsv", sep='\t')
        print(samples[key].var.columns)
        if key == "HT29_EV":
            g.plot_lineage_drivers(
                '17', save='{}_17_lineage_drivers.png'.format(key))
            g.plot_lineage_drivers(
                '1', save='{}_10_lineage_drivers.png'.format(key))
            g.plot_lineage_drivers('11',
                                   save='{}_1_lineage_drivers.png'.format(key))
            g.plot_lineage_drivers('4',
                                   save='{}_4_lineage_drivers.png'.format(key))

        if key == "H508_EV":
            g.plot_lineage_drivers(
                '10', save='{}_10_lineage_drivers.png'.format(key))
            g.plot_lineage_drivers(
                '17', save='{}_17_lineage_drivers.png'.format(key))
            g.plot_lineage_drivers('1',
                                   save='{}_1_lineage_drivers.png'.format(key))
            g.plot_lineage_drivers(