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Added LR91 README
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examples/lr91/README.md

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# Luo-Rudy 1991 Case Study: APD90 Sensitivity Analysis
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In this case study, we demonstrate how causal testing can be used to implement a sensitivity analysis approach measuring the
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extent to which a series of conductance-based inputs effect a single output, APD90, in the seminal Luo-Rudy 1991
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cardiac action potential model. As described in Section 5.2 of the paper, this involves running a series of causal test
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cases that incrementally increase/decrease the treatment value for each input above/below its mean to quantify how much
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a given change input causes a change in APD90.
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Here we expect that increasing G_K, G_b, and G_K1, will cause APD90 to decrease, increasing G_si will
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cause APD90 to increase, and increasing G_Na and G_Kp to have no significant effect on APD90. Further details
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can be found in Section 5.2 of the paper.
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## How to run
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To run this case study:
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1. Ensure all project dependencies are installed by running `pip install .` in the top level directory
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(instructions are provided in the project README).
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2. Change directory to `causal_testing/examples/lr91`.
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3. Run the command `python causal_test_max_conductances.py`
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This should print a series of causal test results covering the effects of a range of different sized interventions made
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to the inputs on APD90, and should also plot Figure 2 from the paper.

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