""" Wrapper for performing the LR GO analysis.
"""

import os
import stlearn.tools.microenv.cci.r_helpers as rhs


def run_GO(genes, bg_genes, species, r_path, p_cutoff=0.01, q_cutoff=0.5, onts="BP"):
    """Running GO term analysis."""

    # Setting up the R environment #
    rhs.rpy2_setup(r_path)

    # Adding the source R code #
    r = rhs.ro.r
    path = os.path.dirname(os.path.realpath(__file__))
    r["source"](path + "/go.R")

    # Loading the GO analysis function #
    go_analyse_r = rhs.ro.globalenv["GO_analyse"]

    # Running the function on the genes #
    genes_r = rhs.ro.StrVector(genes)
    if type(bg_genes) != type(None):
        bg_genes_r = rhs.ro.StrVector(bg_genes)
    else:
        bg_genes_r = rhs.ro.r["as.null"]()
    p_cutoff_r = rhs.ro.FloatVector([p_cutoff])
    q_cutoff_r = rhs.ro.FloatVector([q_cutoff])
    onts_r = rhs.ro.StrVector([onts])
    go_results_r = go_analyse_r(
        genes_r, bg_genes_r, species, p_cutoff_r, q_cutoff_r, onts_r
    )
    with rhs.localconverter(rhs.ro.default_converter + rhs.pandas2ri.converter):
        go_results = rhs.ro.conversion.rpy2py(go_results_r)

    return go_results

""" Wrapper for performing the LR GO analysis.
"""

import os
import stlearn.tools.microenv.cci.r_helpers as rhs


def run_GO(genes, bg_genes, species, r_path, p_cutoff=0.01, q_cutoff=0.5, onts="BP"):
    """Running GO term analysis."""

    # Setting up the R environment #
    rhs.rpy2_setup(r_path)

    # Adding the source R code #
    r = rhs.ro.r
    path = os.path.dirname(os.path.realpath(__file__))
    r["source"](path + "/go.R")

    # Loading the GO analysis function #
    go_analyse_r = rhs.ro.globalenv["GO_analyse"]

    # Running the function on the genes #
    genes_r = rhs.ro.StrVector(genes)
    if type(bg_genes) != type(None):
        bg_genes_r = rhs.ro.StrVector(bg_genes)
    else:
        bg_genes_r = rhs.ro.r["as.null"]()
    p_cutoff_r = rhs.ro.FloatVector([p_cutoff])
    q_cutoff_r = rhs.ro.FloatVector([q_cutoff])
    onts_r = rhs.ro.StrVector([onts])
    go_results_r = go_analyse_r(
        genes_r, bg_genes_r, species, p_cutoff_r, q_cutoff_r, onts_r
    )
    with rhs.localconverter(rhs.ro.default_converter + rhs.pandas2ri.converter):
        go_results = rhs.ro.conversion.rpy2py(go_results_r)

    return go_results

Wrapper for performing the LR GO analysis. Running GO term analysis. # Setting up the R environment # # Adding the source R code # # Loading the GO analysis function # # Running the function on the genes #