示例#1
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def create_mat_dict(model):
    """create a dict mapping model attributes to arrays"""
    model = model.to_array_based_model()
    rxns = model.reactions
    mets = model.metabolites
    mat = dicttype()
    mat["mets"] = _cell(mets.list_attr("id"))
    mat["metNames"] = _cell(mets.list_attr("name"))
    mat["metFormulas"] = _cell([str(m.formula) for m in mets])
    mat["genes"] = _cell(model.genes.list_attr("id"))
    mat["grRules"] = _cell(rxns.list_attr("gene_reaction_rule"))
    mat["rxns"] = _cell(rxns.list_attr("id"))
    mat["rxnNames"] = _cell(rxns.list_attr("name"))
    mat["subSystems"] = _cell(rxns.list_attr("subsystem"))
    mat["csense"] = "".join(model._constraint_sense)
    mat["S"] = model.S
    # multiply by 1 to convert to float, working around scipy bug
    # https://github.com/scipy/scipy/issues/4537
    mat["lb"] = array(rxns.list_attr("lower_bound")) * 1.
    mat["ub"] = array(rxns.list_attr("upper_bound")) * 1.
    mat["b"] = array(mets.list_attr("_bound")) * 1.
    mat["c"] = array(rxns.list_attr("objective_coefficient")) * 1.
    mat["rev"] = array(rxns.list_attr("reversibility")) * 1
    mat["description"] = str(model.description)
    return mat
示例#2
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def create_mat_dict(model):
    """create a dict mapping model attributes to arrays"""
    model = model.to_array_based_model()
    rxns = model.reactions
    mets = model.metabolites
    mat = dicttype()
    mat["mets"] = _cell(mets.list_attr("id"))
    mat["metNames"] = _cell(mets.list_attr("name"))
    mat["metFormulas"] = _cell([str(m.formula) for m in mets])
    mat["genes"] = _cell(model.genes.list_attr("id"))
    mat["grRules"] = _cell(rxns.list_attr("gene_reaction_rule"))
    mat["rxns"] = _cell(rxns.list_attr("id"))
    mat["rxnNames"] = _cell(rxns.list_attr("name"))
    mat["subSystems"] = _cell(rxns.list_attr("subsystem"))
    mat["csense"] = "".join(model._constraint_sense)
    mat["S"] = model.S
    # multiply by 1 to convert to float, working around scipy bug
    # https://github.com/scipy/scipy/issues/4537
    mat["lb"] = array(rxns.list_attr("lower_bound")) * 1.
    mat["ub"] = array(rxns.list_attr("upper_bound")) * 1.
    mat["b"] = array(mets.list_attr("_bound")) * 1.
    mat["c"] = array(rxns.list_attr("objective_coefficient")) * 1.
    mat["rev"] = array(rxns.list_attr("reversibility")) * 1
    mat["description"] = str(model.description)
    return mat
示例#3
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文件: mat.py 项目: Tavpritesh/cobrapy
def save_matlab_model(model, file_name):
    """Save the cobra model as a .mat file.

    This .mat file can be used directly in the MATLAB version of COBRA.

    model : :class:`~cobra.core.Model.Model` object

    file_name : str or file-like object

    """
    model = model.to_array_based_model()
    rxns = model.reactions
    mets = model.metabolites
    mat = dicttype()
    csense = ""
    for m in mets:
        csense += m._constraint_sense
    mat["mets"] = _cell(mets.list_attr("id"))
    mat["metNames"] = _cell(mets.list_attr("name"))
    mat["metFormulas"] = _cell([str(m.formula) for m in mets])
    mat["genes"] = _cell(model.genes.list_attr("id"))
    mat["grRules"] = _cell(rxns.list_attr("gene_reaction_rule"))
    mat["rxns"] = _cell(rxns.list_attr("id"))
    mat["rxnNames"] = _cell(rxns.list_attr("name"))
    mat["subSystems"] = _cell(rxns.list_attr("subsystem"))
    mat["csense"] = csense
    mat["S"] = model.S
    mat["lb"] = array(rxns.list_attr("lower_bound"))
    mat["ub"] = array(rxns.list_attr("upper_bound"))
    mat["b"] = array(mets.list_attr("_bound"))
    mat["c"] = array(rxns.list_attr("objective_coefficient"))
    mat["rev"] = array(rxns.list_attr("reversibility"))
    mat["description"] = str(model.description)
    savemat(file_name, {str(model.description): mat},
             appendmat=True, oned_as="column")
示例#4
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文件: mat.py 项目: sgalkina/cobrapy
def create_mat_dict(model):
    """create a dict mapping model attributes to arrays"""
    model = model.to_array_based_model()
    rxns = model.reactions
    mets = model.metabolites
    mat = dicttype()
    mat["mets"] = _cell(mets.list_attr("id"))
    mat["metNames"] = _cell(mets.list_attr("name"))
    mat["metFormulas"] = _cell([str(m.formula) for m in mets])
    try:
        mat["metCharge"] = array(mets.list_attr("charge")) * 1.
    except TypeError:
        # can't have any None entries for charge, or this will fail
        pass
    mat["genes"] = _cell(model.genes.list_attr("id"))
    # make a matrix for rxnGeneMat
    # reactions are rows, genes are columns
    rxnGene = dok_matrix((len(model.reactions), len(model.genes)))
    if min(rxnGene.shape) > 0:
        for i, reaction in enumerate(model.reactions):
            for gene in reaction.genes:
                rxnGene[i, model.genes.index(gene)] = 1
        mat["rxnGeneMat"] = rxnGene
    mat["grRules"] = _cell(rxns.list_attr("gene_reaction_rule"))
    mat["rxns"] = _cell(rxns.list_attr("id"))
    mat["rxnNames"] = _cell(rxns.list_attr("name"))
    mat["subSystems"] = _cell(rxns.list_attr("subsystem"))
    mat["csense"] = "".join(model._constraint_sense)
    mat["S"] = model.S if model.S is not None else [[]]
    # multiply by 1 to convert to float, working around scipy bug
    # https://github.com/scipy/scipy/issues/4537
    mat["lb"] = array(rxns.list_attr("lower_bound")) * 1.
    mat["ub"] = array(rxns.list_attr("upper_bound")) * 1.
    mat["b"] = array(mets.list_attr("_bound")) * 1.
    mat["c"] = array(rxns.list_attr("objective_coefficient")) * 1.
    mat["rev"] = array(rxns.list_attr("reversibility")) * 1
    mat["description"] = str(model.id)
    return mat
示例#5
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def save_matlab_model(model, file_name):
    """Save the cobra model as a .mat file.

    This .mat file can be used directly in the MATLAB version of COBRA.
    .. note:: This function works best with scipy 0.11b1 or later

    Parameters
    ----------
    model : cobra.Model
    file_name : str or file-like object

    """
    model = model.to_array_based_model()
    rxns = model.reactions
    mets = model.metabolites
    mat = dicttype()
    csense = ""
    for m in mets:
        csense += m._constraint_sense
    mat["mets"] = _cell(mets.list_attr("id"))
    mat["metNames"] = _cell(mets.list_attr("name"))
    mat["metFormulas"] = _cell([str(m.formula) for m in mets])
    mat["genes"] = _cell(model.genes.list_attr("id"))
    mat["grRules"] = _cell(rxns.list_attr("gene_reaction_rule"))
    mat["rxns"] = _cell(rxns.list_attr("id"))
    mat["rxnNames"] = _cell(rxns.list_attr("name"))
    mat["subSystems"] = _cell(rxns.list_attr("subsystem"))
    mat["csense"] = csense
    mat["S"] = model.S
    mat["lb"] = array(rxns.list_attr("lower_bound"))
    mat["ub"] = array(rxns.list_attr("upper_bound"))
    mat["b"] = array(mets.list_attr("_bound"))
    mat["c"] = array(rxns.list_attr("objective_coefficient"))
    mat["rev"] = array(rxns.list_attr("reversibility"))
    mat["description"] = str(model.description)
    savemat(file_name, {str(model.description): mat},
             appendmat=True, oned_as="column")