skimpy.analysis.mca.utils
=========================

.. py:module:: skimpy.analysis.mca.utils

.. autoapi-nested-parse::

   .. module:: skimpy
      :platform: Unix, Windows
      :synopsis: Simple Kinetic Models in Python

   .. moduleauthor:: SKiMPy team

   [---------]

   Copyright 2017 Laboratory of Computational Systems Biotechnology (LCSB),
   Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.



Attributes
----------

.. autoapisummary::

   skimpy.analysis.mca.utils.sparse_matrix


Functions
---------

.. autoapisummary::

   skimpy.analysis.mca.utils.get_reversible_fluxes
   skimpy.analysis.mca.utils.get_dlogx_dlogy
   skimpy.analysis.mca.utils.get_reduced_stoichiometry
   skimpy.analysis.mca.utils.get_dep_indep_vars_from_basis


Module Contents
---------------

.. py:data:: sparse_matrix

.. py:function:: get_reversible_fluxes(net_fluxes, displacements, reactions)

   :param net_fluxes: dict of net-fluxes
   :param displacements: dict of displacements for reversible reactions
   :param reactions: list of reaction names
   :return:


.. py:function:: get_dlogx_dlogy(sympy_expression, variable)

   Calc d_log_x/d_log_y = y/x*dx/dy


.. py:function:: get_reduced_stoichiometry(kinetic_model, all_variables, all_dependent_ix=None)

.. py:function:: get_dep_indep_vars_from_basis(L0, all_dependent_ix=None, concentrations=None)