8.1.1.1.1.2.1.7. skimpy.analysis.mca.utils

[———]

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.

8.1.1.1.1.2.1.7.1. Module Contents

8.1.1.1.1.2.1.7.1.1. Functions

get_reversible_fluxes(net_fluxes, displacements, reactions)

param net_fluxes

dict of net-fluxes

get_dlogx_dlogy(sympy_expression, variable)

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

get_reduced_stoichiometry(kinetic_model, all_variables, all_dependent_ix=None)

get_dep_indep_vars_from_basis(L0, all_dependent_ix=None, concentrations=None)

8.1.1.1.1.2.1.7.1.2. Attributes

sparse_matrix

skimpy.sparse_matrix
skimpy.get_reversible_fluxes(net_fluxes, displacements, reactions)
Parameters
  • net_fluxes – dict of net-fluxes

  • displacements – dict of displacements for reversible reactions

  • reactions – list of reaction names

Returns

skimpy.get_dlogx_dlogy(sympy_expression, variable)

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

skimpy.get_reduced_stoichiometry(kinetic_model, all_variables, all_dependent_ix=None)
skimpy.get_dep_indep_vars_from_basis(L0, all_dependent_ix=None, concentrations=None)