8.1.1.1.1.2.1.7. skimpy.analysis.mca.utils

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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. Attributes

sparse_matrix

8.1.1.1.1.2.1.7.2. Functions

get_reversible_fluxes(net_fluxes, displacements, reactions)

get_dlogx_dlogy(sympy_expression, variable)

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

get_reduced_stoichiometry(kinetic_model, all_variables)

get_dep_indep_vars_from_basis(L0[, all_dependent_ix, ...])

8.1.1.1.1.2.1.7.3. Module Contents

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)