{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Conversion reaction\n", "===================" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# install if not done yet\n", "# !apt install libatlas-base-dev swig\n", "# %pip install pypesto[amici] --quiet" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [], "source": [ "import importlib\n", "import os\n", "import sys\n", "\n", "import amici\n", "import amici.plotting\n", "import numpy as np\n", "\n", "import pypesto\n", "import pypesto.optimize as optimize\n", "import pypesto.visualize as visualize\n", "\n", "# sbml file we want to import\n", "sbml_file = \"conversion_reaction/model_conversion_reaction.xml\"\n", "# name of the model that will also be the name of the python module\n", "model_name = \"model_conversion_reaction\"\n", "# directory to which the generated model code is written\n", "model_output_dir = \"tmp/\" + model_name" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Compile AMICI model" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "pycharm": { "is_executing": false }, "scrolled": true }, "outputs": [], "source": [ "# import sbml model, compile and generate amici module\n", "sbml_importer = amici.SbmlImporter(sbml_file)\n", "sbml_importer.sbml2amici(model_name, model_output_dir, verbose=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load AMICI model" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# load amici module (the usual starting point later for the analysis)\n", "sys.path.insert(0, os.path.abspath(model_output_dir))\n", "model_module = importlib.import_module(model_name)\n", "model = model_module.getModel()\n", "model.requireSensitivitiesForAllParameters()\n", "model.setTimepoints(np.linspace(0, 10, 11))\n", "model.setParameterScale(amici.ParameterScaling.log10)\n", "model.setParameters([-0.3, -0.7])\n", "solver = model.getSolver()\n", "solver.setSensitivityMethod(amici.SensitivityMethod.forward)\n", "solver.setSensitivityOrder(amici.SensitivityOrder.first)\n", "\n", "# how to run amici now:\n", "rdata = amici.runAmiciSimulation(model, solver, None)\n", "amici.plotting.plotStateTrajectories(rdata)\n", "edata = amici.ExpData(rdata, 0.2, 0.0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Optimize" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [], "source": [ "# create objective function from amici model\n", "# pesto.AmiciObjective is derived from pesto.Objective,\n", "# the general pesto objective function class\n", "objective = pypesto.AmiciObjective(model, solver, [edata], 1)\n", "\n", "# create optimizer object which contains all information for doing the optimization\n", "optimizer = optimize.ScipyOptimizer(method=\"ls_trf\")\n", "\n", "# create problem object containing all information on the problem to be solved\n", "problem = pypesto.Problem(objective=objective, lb=[-2, -2], ub=[2, 2])\n", "\n", "# do the optimization\n", "result = optimize.minimize(\n", " problem=problem, optimizer=optimizer, n_starts=10, filename=None\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Visualize" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "visualize.waterfall(result)\n", "visualize.parameters(result)\n", "visualize.optimizer_convergence(result)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Profiles" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Parameters obtained from history and optimizer do not match: [-0.17103023], [-0.17102486]\n", "Parameters obtained from history and optimizer do not match: [-0.92272262], [-0.92270649]\n" ] } ], "source": [ "import pypesto.profile as profile\n", "\n", "profile_options = profile.ProfileOptions(\n", " min_step_size=0.0005,\n", " delta_ratio_max=0.05,\n", " default_step_size=0.005,\n", " ratio_min=0.01,\n", ")\n", "\n", "result = profile.parameter_profile(\n", " problem=problem,\n", " result=result,\n", " optimizer=optimizer,\n", " profile_index=np.array([1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0]),\n", " result_index=0,\n", " profile_options=profile_options,\n", " filename=None,\n", ")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# specify the parameters, for which profiles should be computed\n", "ax = visualize.profiles(result)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Sampling" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 10000/10000 [00:33<00:00, 295.74it/s]\n" ] } ], "source": [ "import pypesto.sample as sample\n", "\n", "sampler = sample.AdaptiveParallelTemperingSampler(\n", " internal_sampler=sample.AdaptiveMetropolisSampler(), n_chains=3\n", ")\n", "\n", "result = sample.sample(\n", " problem, n_samples=10000, sampler=sampler, result=result, filename=None\n", ")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Burn in index not found in the results, the full chain will be shown.\n", "You may want to use, e.g., 'pypesto.sample.geweke_test'.\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ax = visualize.sampling_scatter(result, size=[13, 6])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Predict" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# Let's create a function, which predicts the ratio of x_1 and x_0\n", "import pypesto.predict as predict\n", "\n", "\n", "def ratio_function(amici_output_list):\n", " # This (optional) function post-processes the results from AMICI and must accept one input:\n", " # a list of dicts, with the fields t, x, y[, sx, sy - if sensi_orders includes 1]\n", " # We need to specify the simulation condition: here, we only have one, i.e., it's [0]\n", " x = amici_output_list[0][\"x\"]\n", " ratio = x[:, 1] / x[:, 0]\n", " # we need to output also at least one simulation condition\n", " return [ratio]\n", "\n", "\n", "# create pypesto prediction function\n", "predictor = predict.AmiciPredictor(\n", " objective, post_processor=ratio_function, output_ids=[\"ratio\"]\n", ")\n", "\n", "# run prediction\n", "prediction = predictor(x=model.getUnscaledParameters())" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'conditions': [{'timepoints': array([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10.]),\n", " 'output_ids': ['ratio'],\n", " 'x_names': ['k1', 'k2'],\n", " 'output': array([0. , 1.95196396, 2.00246152, 2.00290412, 2.00290796,\n", " 2.00290801, 2.00290801, 2.00290799, 2.002908 , 2.00290801,\n", " 2.002908 ]),\n", " 'output_sensi': None}],\n", " 'condition_ids': ['condition_0'],\n", " 'comment': None,\n", " 'parameter_ids': ['k1', 'k2']}" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dict(prediction)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Analyze parameter ensembles" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "parameterId k1 k2\n", "parameterId k1 k2\n", "lowerBound -2 -2\n", "upperBound 2 2\n", "ensemble_mean -0.559689 -0.810604\n", "ensemble_std 0.287255 0.364753\n", "ensemble_median -0.559689 -0.810604\n", "within lb: 1 std True True\n", "within ub: 1 std True True\n", "within lb: 2 std True True\n", "within ub: 2 std True True\n", "within lb: 3 std True True\n", "within ub: 3 std True True\n", "within lb: perc 5 True True\n", "within lb: perc 20 True True\n", "within ub: perc 80 True True\n", "within ub: perc 95 True True\n" ] } ], "source": [ "# We want to use the sample result to create a prediction\n", "from pypesto.ensemble import ensemble\n", "\n", "# first collect some vectors from the sampling result\n", "vectors = result.sample_result.trace_x[0, ::20, :]\n", "\n", "# create the collection\n", "my_ensemble = ensemble.Ensemble(\n", " vectors,\n", " x_names=problem.x_names,\n", " ensemble_type=ensemble.EnsembleType.sample,\n", " lower_bound=problem.lb,\n", " upper_bound=problem.ub,\n", ")\n", "\n", "# we can also perform an approximative identifiability analysis\n", "summary = my_ensemble.compute_summary()\n", "identifiability = my_ensemble.check_identifiability()\n", "print(identifiability.transpose())" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'mean': ,\n", " 'std': ,\n", " 'median': ,\n", " 'percentile 1': ,\n", " 'percentile 5': ,\n", " 'percentile 10': ,\n", " 'percentile 25': ,\n", " 'percentile 75': ,\n", " 'percentile 90': ,\n", " 'percentile 95': ,\n", " 'percentile 99': }" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# run a prediction\n", "ensemble_prediction = my_ensemble.predict(\n", " predictor, prediction_id=\"ratio_over_time\"\n", ")\n", "\n", "# go for some analysis\n", "prediction_summary = ensemble_prediction.compute_summary(\n", " percentiles_list=(1, 5, 10, 25, 75, 90, 95, 99)\n", ")\n", "dict(prediction_summary)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 4 }