8.1.1.1.1.3. skimpy.analysis.modal

[———]

Copyright 2018 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.

8.1.1.1.1.3.1. Submodules

8.1.1.1.1.3.2. Package Contents

8.1.1.1.1.3.2.1. Classes

TabDict

Really just an ordered dict with tab completion in interactive terminals

FluxFunction

8.1.1.1.1.3.2.2. Functions

modal_matrix

class skimpy.TabDict

Bases: collections.OrderedDict

Really just an ordered dict with tab completion in interactive terminals

__dir__(self)

__dir__() -> list default dir() implementation

__getattr__(self, attr)
iloc(self, ix)
class skimpy.FluxFunction(variables, expr, parameters, pool=None)
__call__(self, concentrations, parameters)
skimpy.modal_matrix(kmodel, concentration_dict, parameters, flux_modes=False, tolerance=1e-12)

This function computes the transformation matrix W as described in Chapter 4 of Heinrich, Reinhart, and Stefan Schuster. The regulation of cellular systems. Springer Science & Business Media, 2012.

The matrix W describes the composition of each pool variable X[i] whos dynamics are given by the eigenvalue lam[i] as a linear combination of the model variables S, which are concentrations.

Parameters
  • kmodel – A skimpy.core.KineticModel with compiled mca functions

  • concentration_dict – A dict {‘variable_name’: value, }

  • parameters – A dict {‘param_name’: value, }

Returns