GitHub - anastasia-rk/ionch_clean: a clean repo to run on cardiac server

Parameter cascading optimisation framework for the ion channel model.

Using the B-spline collocation method for the ODE solution at every iteration of the parameter optimisation algorithm.

Name		Name	Last commit message	Last commit date
Latest commit History 48 Commits
.idea		.idea
Figures		Figures
Lambda_exploration_results_Kemp		Lambda_exploration_results_Kemp
Lambda_exploration_results_Wang		Lambda_exploration_results_Wang
Results_a_lambda_1		Results_a_lambda_1
Results_a_lambda_10		Results_a_lambda_10
Results_a_lambda_100		Results_a_lambda_100
Results_a_lambda_1000		Results_a_lambda_1000
Results_gen_model_HH_lambda_1000000		Results_gen_model_HH_lambda_1000000
Results_gen_model_Kemp_IVP		Results_gen_model_Kemp_IVP
Results_gen_model_Kemp_lambda_1		Results_gen_model_Kemp_lambda_1
Results_gen_model_Kemp_lambda_10		Results_gen_model_Kemp_lambda_10
Results_gen_model_Kemp_lambda_100		Results_gen_model_Kemp_lambda_100
Results_gen_model_Kemp_lambda_1000		Results_gen_model_Kemp_lambda_1000
Results_gen_model_Kemp_lambda_10000		Results_gen_model_Kemp_lambda_10000
Results_gen_model_Kemp_lambda_100000		Results_gen_model_Kemp_lambda_100000
Results_gen_model_Kemp_lambda_1000000		Results_gen_model_Kemp_lambda_1000000
Results_gen_model_Kemp_lambda_10000000		Results_gen_model_Kemp_lambda_10000000
Results_gen_model_Kemp_lambda_100000000		Results_gen_model_Kemp_lambda_100000000
Results_gen_model_Kemp_lambda_1000000_old		Results_gen_model_Kemp_lambda_1000000_old
Results_gen_model_Kemp_lambda_3		Results_gen_model_Kemp_lambda_3
Results_gen_model_Kemp_lambda_31		Results_gen_model_Kemp_lambda_31
Results_gen_model_Kemp_lambda_316		Results_gen_model_Kemp_lambda_316
Results_gen_model_Kemp_lambda_3162		Results_gen_model_Kemp_lambda_3162
Results_gen_model_Kemp_lambda_31622		Results_gen_model_Kemp_lambda_31622
Results_gen_model_Kemp_lambda_316227		Results_gen_model_Kemp_lambda_316227
Results_gen_model_Kemp_lambda_3162277		Results_gen_model_Kemp_lambda_3162277
Results_gen_model_Kemp_lambda_31622776		Results_gen_model_Kemp_lambda_31622776
Results_gen_model_Kemp_lambda_316227766		Results_gen_model_Kemp_lambda_316227766
Results_gen_model_Wang_IVP		Results_gen_model_Wang_IVP
Results_gen_model_Wang_lambda_1		Results_gen_model_Wang_lambda_1
Results_gen_model_Wang_lambda_10		Results_gen_model_Wang_lambda_10
Results_gen_model_Wang_lambda_100		Results_gen_model_Wang_lambda_100
Results_gen_model_Wang_lambda_1000		Results_gen_model_Wang_lambda_1000
Results_gen_model_Wang_lambda_10000		Results_gen_model_Wang_lambda_10000
Results_gen_model_Wang_lambda_100000		Results_gen_model_Wang_lambda_100000
Results_gen_model_Wang_lambda_1000000		Results_gen_model_Wang_lambda_1000000
Results_gen_model_Wang_lambda_10000000		Results_gen_model_Wang_lambda_10000000
Results_gen_model_Wang_lambda_100000000		Results_gen_model_Wang_lambda_100000000
Results_kemp_lambda_10000_start_at_truth		Results_kemp_lambda_10000_start_at_truth
Results_r_lambda_1		Results_r_lambda_1
Results_r_lambda_10		Results_r_lambda_10
Results_r_lambda_100		Results_r_lambda_100
Results_r_lambda_1000		Results_r_lambda_1000
Results_two_state_lambda_1		Results_two_state_lambda_1
Results_two_state_lambda_100		Results_two_state_lambda_100
Results_two_state_lambda_1000		Results_two_state_lambda_1000
Results_two_state_lambda_10000		Results_two_state_lambda_10000
Results_two_state_lambda_100000		Results_two_state_lambda_100000
Results_two_state_lambda_1000000		Results_two_state_lambda_1000000
Results_two_state_lambda_10000_start_at_truth		Results_two_state_lambda_10000_start_at_truth
Results_two_state_lambda_100_start_at_truth		Results_two_state_lambda_100_start_at_truth
Results_two_state_lambda_50000		Results_two_state_lambda_50000
Results_two_state_lambda_500000		Results_two_state_lambda_500000
Test_plot_output		Test_plot_output
ap_protocol		ap_protocol
.DS_Store		.DS_Store
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
best_betas_both_states.csv		best_betas_both_states.csv
check_ap_volts.png		check_ap_volts.png
generate_data.py		generate_data.py
inner_optimisation_scipy.py		inner_optimisation_scipy.py
ionch_conda_env.yml		ionch_conda_env.yml
ivp_inner.txt		ivp_inner.txt
kemp_two_states_and_conductance.py		kemp_two_states_and_conductance.py
lambda_exploration_kemp.txt		lambda_exploration_kemp.txt
lambda_exploration_scipy.txt		lambda_exploration_scipy.txt
lambda_exploration_scipy_fewer_iters.txt		lambda_exploration_scipy_fewer_iters.txt
lambda_exploration_wang.txt		lambda_exploration_wang.txt
load_protocols.py		load_protocols.py
output_a.txt		output_a.txt
output_kemp_model.txt		output_kemp_model.txt
output_r.txt		output_r.txt
output_two_states_start_at_truth.txt		output_two_states_start_at_truth.txt
output_two_states_varied_lambda.txt		output_two_states_varied_lambda.txt
pints_classes.py		pints_classes.py
plot_result_two_states.py		plot_result_two_states.py
plot_results_colloc_vs_ivp.py		plot_results_colloc_vs_ivp.py
plot_results_one_state.py		plot_results_one_state.py
protocol-staircaseramp.csv		protocol-staircaseramp.csv
requirements.txt		requirements.txt
run_for_a.py		run_for_a.py
run_for_r.py		run_for_r.py
scipy_inner_test.txt		scipy_inner_test.txt
setup.py		setup.py
test_knot_and_data_generation.py		test_knot_and_data_generation.py
try_all_with_scipy.py		try_all_with_scipy.py
try_ask_tell_parallelised.py		try_ask_tell_parallelised.py
try_ask_tell_two_states_segments.py		try_ask_tell_two_states_segments.py
try_directly_solving_ODE.py		try_directly_solving_ODE.py
try_pints_inner.py		try_pints_inner.py
two_states_kemp.py		two_states_kemp.py
varying_lambda_two_states.py		varying_lambda_two_states.py
varying_lambdas_for_hh.py		varying_lambdas_for_hh.py
varying_lambdas_for_kemp.py		varying_lambdas_for_kemp.py
varying_lambdas_for_wang.py		varying_lambdas_for_wang.py

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