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Code for linear noise approximation analysis of signal transduction information channel project with Greg Hessler and Andrew Eckford

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linear-noise-approx-channel

Code for linear noise approximation analysis of signal transduction information channel project with Greg Hessler and Andrew Eckford

Figure Generation Files

Fig 1 Fig 2a Fig 2b Fig 3 etc.

Matlab Utility Files

White noise input.

Calculate SE^FULL (spectral efficiency, fully observed case), SE^PART_0 (SE for partially observed, low freq limit), SE^PART_\infty (SE for partially observed, high freq limit).

SE_3state_chain.m 3-state chain
SE_3state_ring.m 3-state ring (e.g. Channelrhodopsin) SE_ACh.m Acetylcholine

These files take p as an input (probability of high intensity input for IID input signal). In these files, baseline transition rate (\alpha_{ij}^0), sensitivity (\alpha_{ij}^1), observable (C) are defined internally. Edit files to change these parameters.
They are called by

SE_3state_chain_sweep_p.m
SE_3state_ring_sweep_p.m
SE_ACh_sweep_p.m

Colored noise input.

MI_3state_chain_colored.m
MI_3state_colored_sweep_p.m
MI_ACh_colored.m MI_ACh_colored_sweep_p.m SE_3state_chain_plot.m norms_3state_chain.m norms_3state_ring.m norms_ACh.m

Mathematica Files

To be added...

To be deleted:

MI_3state_sweep_p.m (superceded by SE_sweep.m)

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Code for linear noise approximation analysis of signal transduction information channel project with Greg Hessler and Andrew Eckford

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