{ "cells": [ { "cell_type": "markdown", "id": "4d9e97b7", "metadata": {}, "source": [ "## Example 3: Signaling cascade model" ] }, { "cell_type": "markdown", "id": "098e3327", "metadata": {}, "source": [ "The DynGPT package can be applied to solve a given state transition network and infer the associated model parameters. In this section, we will demonstrate the basic use of DynGPT using the signaling cascade model as an illustrative example." ] }, { "cell_type": "markdown", "id": "84dff04a", "metadata": {}, "source": [ "\"Schematic" ] }, { "cell_type": "markdown", "id": "3f988057", "metadata": {}, "source": [ "The STN of signaling cascade model can be described as:
\n", "(1) The state is $s={{\\left( {{s}_{1}},\\ldots ,,{{s}_{M}} \\right)}^{\\text{T}}}\\in {{\\mathbb{N}}^{\\text{M}}}$ with $M=10,$ where ${{s}_{i}}$ represents the $i\\text{-th}$ signal.
\n", "(2)\tEvent sets are $\\mathcal{R}=\\left\\{ \\left. {{\\mathcal{R}}_{1}},\\ldots ,{{\\mathcal{R}}_{2M}} \\right\\} \\right.,$ ${{\\mathcal{R}}_{1}}$ represents the production the first signal${{\\mathcal{R}}_{i}}\\text{ for }i=2,\\ldots ,M$ represents the conversion from the current signal to the next signal, ${{\\mathcal{R}}_{i}}\\text{ for }i=M+1,\\ldots ,2M$ represents the signal degradation.
\n", "(3)\t State change vectors are: $\\left\\{ {{\\Delta }^{\\left( k \\right)}} \\right\\},k=1,2,\\ldots ,20,$ where ${{\\Delta }^{\\left( k \\right)}}=\\left( \\Delta _{1}^{\\left( k \\right)},\\Delta _{2}^{\\left( k \\right)},\\ldots ,\\Delta _{2M}^{\\left( k \\right)} \\right)$ represents the state change vector corresponding to $k\\text{-th}$ event with \n", "$$\\begin{align}\n", " & \\Delta _{i}^{\\left( 1 \\right)}={{\\delta }_{i,1}}, \\\\ \n", " & \\Delta _{i}^{\\left( p \\right)}=-{{\\delta }_{i,p-1}}+{{\\delta }_{i,p}}\\text{ for }p=2,\\ldots ,M, \\\\ \n", " & \\Delta _{i}^{\\left( q \\right)}=-{{\\delta }_{i,q-M}}\\text{ for }q=M+1,\\ldots ,2M, \\\\ \n", "\\end{align}$$\n", "where $i\\in \\left\\{ \\text{1},\\text{2},\\ldots ,2M \\right\\}$ and ${{\\delta }_{i,j}}$ is the Kronecker delta.
\n", "(4)\tThe propensity functions are: ${{\\lambda }_{1}}=\\rho ,\\text{ }\\left( {{\\lambda }_{2}},\\ldots ,{{\\lambda }_{M}} \\right)=\\left( k{{s}_{1}},\\ldots ,k{{s}_{M-1}} \\right)$ and $\\left( {{\\lambda }_{M+1}},\\ldots ,{{\\lambda }_{2M}} \\right)=\\left( \\delta {{s}_{1}},\\ldots ,\\delta {{s}_{M}} \\right).$
\n", "In this STN, the input of the DynGPT-Solver is the parameters ${{\\theta }_{\\text{dyn}}}=\\left\\{ \\rho ,k,\\delta \\right\\}$." ] }, { "cell_type": "markdown", "id": "b99c7072", "metadata": {}, "source": [ "### 1. Generate configuration file" ] }, { "cell_type": "markdown", "id": "fbcb707b", "metadata": {}, "source": [ "To facilitate data generation and subsequent neural network training, we need create a configuration file for the signaling cascade that encapsulates its key properties. The key propertie of STN primarily consists of the following components:
\n", "(1) State-related configuration: This includes the names of the states. In signaling cascade model, the state names (`state_names`) are: [\"S1\", \"S2\", \"S3\", \"S4\", \"S5\", \"S6\", \"S7\", \"S8\", \"S9\", \"S10\"]
\n", "(2) Event-related configuration: The occurrence rate functions governing event dynamics, and state transition vectors associated with each event's occurrence. In signaling cascade, the state transition vectors (`state_transition`) are: $\\Delta _{i}^{\\left( 1 \\right)}$, $\\Delta _{i}^{\\left( p \\right)}$ and $\\Delta _{i}^{\\left( q \\right)}$. Occurrence rates for each event (`event_rates`) are: ${{\\lambda }_{1}}=r$, $\\left( {{\\lambda }_{2}},\\ldots,{{\\lambda }_{M}} \\right)=\\left( k{{s}_{1}},\\ldots, k{{s}_{M-1}} \\right)$, $\\left( {{\\lambda }_{M+1}},\\ldots ,{{\\lambda }_{2M}} \\right)=\\left( \\delta {{s}_{1}}\\ldots ,\\delta {{s}_{M}} \\right)$.
\n", "(3) Parameter-related configuration: The name of parameter values and the range of parameters. In signaling cascade model,the parameter names (`param_names`) are: [\"ρ\", \"k\", \"δ\"]. Upper bounds of parameters (`upper_bound_val`) are: [50, 1, 1]. Lower bounds of parameters (`lower_bound_val`) are: [0.1, 0.1, 0.1].
\n", "      Additionally, we need to specify several hyperparameters for performing SSA simulations on signaling cascade model, including the model name (`model_name`), the initial values (`initial_val`), the maximum simulation time (`t_end`), the number of parameter sets to simulate for the training (`train_data_size`) and validation datasets (`valid_data_size`), and the directory for storing the resulting simulation data (`dataset_dir`). We define the subset of state indices corresponding to the state names to extract (`minimal_state_indices`)." ] }, { "cell_type": "markdown", "id": "cb61a2a5", "metadata": {}, "source": [ "Hence, the following configuration files can be defined for signaling cascade model. And we use Python's json package to store this configuration for subsequent simulation and neural network training." ] }, { "cell_type": "code", "execution_count": null, "id": "926c8b00", "metadata": {}, "outputs": [], "source": [ "config_file = {\n", " \"state_names\": [\"S1\", \"S2\", \"S3\", \"S4\", \"S5\", \"S6\", \"S7\", \"S8\", \"S9\", \"S10\"],\n", " \"events\": [\n", " {\"state_transition\": {\"S1\": 1}, \"event_rates\": \"ρ\"},\n", " {\"state_transition\": {\"S1\": -1, \"S2\": 1}, \"event_rates\": \"k*S1\"},\n", " {\"state_transition\": {\"S2\": -1, \"S3\": 1}, \"event_rates\": \"k*S2\"},\n", " {\"state_transition\": {\"S3\": -1, \"S4\": 1}, \"event_rates\": \"k*S3\"},\n", " {\"state_transition\": {\"S4\": -1, \"S5\": 1}, \"event_rates\": \"k*S4\"},\n", " {\"state_transition\": {\"S5\": -1, \"S6\": 1}, \"event_rates\": \"k*S5\"},\n", " {\"state_transition\": {\"S6\": -1, \"S7\": 1}, \"event_rates\": \"k*S6\"},\n", " {\"state_transition\": {\"S7\": -1, \"S8\": 1}, \"event_rates\": \"k*S7\"},\n", " {\"state_transition\": {\"S8\": -1, \"S9\": 1}, \"event_rates\": \"k*S8\"},\n", " {\"state_transition\": {\"S9\": -1, \"S10\": 1}, \"event_rates\": \"k*S9\"},\n", " {\"state_transition\": {\"S1\": -1}, \"event_rates\": \"δ*S1\"},\n", " {\"state_transition\": {\"S2\": -1}, \"event_rates\": \"δ*S2\"},\n", " {\"state_transition\": {\"S3\": -1}, \"event_rates\": \"δ*S3\"},\n", " {\"state_transition\": {\"S4\": -1}, \"event_rates\": \"δ*S4\"},\n", " {\"state_transition\": {\"S5\": -1}, \"event_rates\": \"δ*S5\"},\n", " {\"state_transition\": {\"S6\": -1}, \"event_rates\": \"δ*S6\"},\n", " {\"state_transition\": {\"S7\": -1}, \"event_rates\": \"δ*S7\"},\n", " {\"state_transition\": {\"S8\": -1}, \"event_rates\": \"δ*S8\"},\n", " {\"state_transition\": {\"S9\": -1}, \"event_rates\": \"δ*S9\"},\n", " {\"state_transition\": {\"S10\": -1}, \"event_rates\": \"δ*S10\"}\n", " ],\n", " \"parameters\": {\n", " \"param_names\": [\"ρ\", \"k\", \"δ\"],\n", " \"upper_bound_val\": [50, 1, 1],\n", " \"lower_bound_val\": [0.1, 0.1, 0.1]\n", " },\n", " \"model_name\": \"signal_cascade\",\n", " \"initial_val\": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n", " \"t_end\": 6000,\n", " \"train_data_size\": 10000,\n", " \"valid_data_size\": 1000,\n", " \"dataset_dir\": \"/GPUFS/sysu_jjzhang_1/hzw/academicCode/DynGPTTest/DynGPT/data/signal_cascade/\",\n", " \"minimal_state_indices\": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n", " \"state_upper_bound\": [113, 62, 42, 33, 28, 24, 22, 19, 18, 90]\n", "}\n", "with open(\"config/{}_config.json\".format(config_file[\"model_name\"]), \"w\") as file:\n", " json.dump(config_file, file, indent=4)" ] }, { "cell_type": "markdown", "id": "b7ca67e6", "metadata": {}, "source": [ "### 2. Generate datasets" ] }, { "cell_type": "markdown", "id": "ebd6f06c", "metadata": {}, "source": [ "After generating the configuration file, we construct and simulate a state transition network for the gene expression central dogma model to obtain the dataset required for training the neural network addressing the model. The simulation is implemented in Julia, which provides higher efficiency for stochastic simulation algorithms (SSA) compared to Python. To generate the training data, execute the following command in the terminal:" ] }, { "cell_type": "code", "execution_count": null, "id": "f1e1f555", "metadata": {}, "outputs": [], "source": [ "julia simulation.jl /path/to/config.json" ] }, { "cell_type": "markdown", "id": "597a08ee", "metadata": {}, "source": [ "### 3. Train DynGPT-Solver" ] }, { "cell_type": "code", "execution_count": 2, "id": "88774620", "metadata": {}, "outputs": [], "source": [ "# import packages\n", "import sys\n", "import os\n", "import numpy as np\n", "import json\n", "import logging\n", "import warnings\n", "root_dir = \"/GPUFS/sysu_jjzhang_1/hzw/academicCode/DynGPTTest/DynGPT/\"\n", "sys.path.append(root_dir)\n", "os.chdir(root_dir)\n", "import dyngpt as dg\n", "logging.getLogger().setLevel(logging.ERROR)\n", "warnings.filterwarnings(\"ignore\")" ] }, { "cell_type": "markdown", "id": "dc47acbc", "metadata": {}, "source": [ "To train a neural network for addressing the signaling cascade model and inferring its parameters, a basic configuration file must first be defined. This file includes four key components: (1) the information of the signaling cascade model, (2) the neural network architecture, (3) the directory for saving outputs and visualizations, and (4) the default parameter settings for the neural network. Subsequent configurations for training, sampling, and inference build upon this foundation by incorporating additional task-specific parameters as needed. The relationships between the configurations of each subsequent stage are presented as follows:" ] }, { "cell_type": "markdown", "id": "87b43540", "metadata": {}, "source": [ "\"Schematic" ] }, { "cell_type": "markdown", "id": "cc903917", "metadata": {}, "source": [ "Firstly, the basic configuration file must include detailed information about the dynamic model." ] }, { "cell_type": "code", "execution_count": 3, "id": "d07c9342", "metadata": {}, "outputs": [], "source": [ "config_basic = {}\n", "config_path_dynmodel = \"your_path_config\"\n", "model_name =\"signal_cascade\"\n", "config_path_dynmodel = \"config/{}_config.json\".format(model_name)\n", "with open(config_path_dynmodel, 'r') as file:\n", " dynmodel_config = json.load(file)\n", "config_basic = dg.tl.update_dynmodel_config(config_basic,config_path_dynmodel)" ] }, { "cell_type": "markdown", "id": "8fb1d480", "metadata": {}, "source": [ "Next, the architecture of the neural network is defined by specifying the relevant structural details within the configuration." ] }, { "cell_type": "code", "execution_count": 4, "id": "fd5a6fb3", "metadata": {}, "outputs": [], "source": [ "config_basic[\"num_encoder_layers\"] = 1 # transformer n_layer\n", "config_basic[\"n_head\"] = 8 # transformer n_head\n", "config_basic[\"feed_forward_dimension\"] = 1024 # transformer feed_forward_dimension" ] }, { "cell_type": "markdown", "id": "523716a2", "metadata": {}, "source": [ "Additionally, we must designate a directory for saving output files and visualizations." ] }, { "cell_type": "code", "execution_count": 5, "id": "f91f5cfd", "metadata": {}, "outputs": [], "source": [ "config_basic[\"dataset_dir\"]=\"your/path/to/saveresult/\"\n", "config_basic[\"figure_dir\"]=\"your/path/to/savefigure/\"\n", "config_basic[\"result_dir\"]=\"result/{}/\".format(config_basic[\"model\"])\n", "config_basic[\"figure_dir\"]=\"figure/{}/\".format(config_basic[\"model\"])" ] }, { "cell_type": "markdown", "id": "382ce42e", "metadata": {}, "source": [ "Finally, execute the provided code to append default configuration parameters." ] }, { "cell_type": "code", "execution_count": 6, "id": "8e1954d8", "metadata": {}, "outputs": [], "source": [ "config_basic = dg.tl.update_default_config(config_basic)" ] }, { "cell_type": "markdown", "id": "36396aaf", "metadata": {}, "source": [ "After defining the configuration file, we proceed to train the neural network designed to solve the signaling cascade. The training process is divided into two stages: the first stage involves pretraining the neural network, while the second stage focuses on fine-tuning it. Additionally, for each stage, we will visualize the corresponding loss function curves to evaluate the training progress." ] }, { "cell_type": "markdown", "id": "6e8bd71b", "metadata": {}, "source": [ "For model pretraining, the configuration file is extended from the basic configuration. We should specify the number of epochs (`epochs_pretrain`) and the training dataset path (`train_dataset_path`) in the configuration file." ] }, { "cell_type": "code", "execution_count": null, "id": "0a78f33d", "metadata": {}, "outputs": [], "source": [ "config_pretrain = config_basic\n", "config_pretrain.epochs_pretrain = 1000\n", "config_pretrain.train_dataset_path = \"your/path/to/train_dataset\"\n", "config_pretrain.train_dataset_path = \"data/isc/isc_train_stable.json\"\n", "result_pre_train = dg.solver.pre_training(config_pretrain)" ] }, { "cell_type": "markdown", "id": "c433755d", "metadata": {}, "source": [ "Visualize the loss values during the pretraining phase of the model." ] }, { "cell_type": "code", "execution_count": 7, "id": "52e1ceab", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "result_pre_train = np.load(\"result/signal_cascade/train_loss/signal_cascade_epoch900.npz\")\n", "dg.pl.plot_loss(result_pre_train[\"loss_mean\"])" ] }, { "cell_type": "markdown", "id": "5b87a25f", "metadata": {}, "source": [ "During the fine-tuning phase, the configuration file is also extended from the basic configuration, specifying the number of epochs (`epochs_fine_tune`), the training dataset path (`train_dataset_path`), and the pretrained network weights (`weight_nn_pretrain_path`)." ] }, { "cell_type": "code", "execution_count": null, "id": "090e8113", "metadata": {}, "outputs": [], "source": [ "config_fine_tune = config_basic\n", "config_fine_tune.epochs_fine_tune = 1000\n", "config_pretrain.train_dataset_path = \"your/path/to/train_dataset\"\n", "config_fine_tune.weight_nn_pretrain_path = result_pre_train[\"weight_nn_pretrain_path\"]" ] }, { "cell_type": "code", "execution_count": null, "id": "1c3257c4", "metadata": {}, "outputs": [], "source": [ "result_fine_tune = dg.solver.fine_tune_training(config_fine_tune)" ] }, { "cell_type": "markdown", "id": "633a8d3a", "metadata": {}, "source": [ "Visualize the loss values during the fine tunning phase of the model." ] }, { "cell_type": "code", "execution_count": 8, "id": "f0231303", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "result_fine_tune = np.load(\"result/signal_cascade/train_loss/fine_tune_signal_cascade_epoch800.npz\")\n", "dg.pl.plot_loss(result_fine_tune[\"loss_mean\"])" ] }, { "cell_type": "markdown", "id": "9b0e45db", "metadata": {}, "source": [ "After the neural network training converges, we valid the performance of the neural network model in solving signaling cascade from comparative analysis of the samples generated by the neural network and those obtained through simulations in terms of their mean, standard deviation, and overall distribution. \n", "When using the trained model for sampling, the configuration file is also extended from the basic configuration, specifying the validation dataset path (`valid_dataset_path`) and incorporating the fine-tuned network weights (`weight_nn_fine_tune_path`)." ] }, { "cell_type": "code", "execution_count": 10, "id": "231ddd68", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "the indices length is 100\n" ] } ], "source": [ "config_sampling = config_basic\n", "valid_dataset_path = \"your/valid/datasetpath/\"\n", "valid_dataset_path = \"data/isc/isc_valid_stable.json\"\n", "# config_sampling.weight_nn_fine_tune_path = result_fine_tune[\"weight_nn_fine_tune_path\"]\n", "config_sampling.weight_nn_fine_tune_path = \"result/signal_cascade/weights/fine_tune_signal_cascade_epoch800.pt\"\n", "config_sampling.valid_dataset_path = valid_dataset_path\n", "result_valid_set = dg.tl.compute_sampling_stats(config_sampling)" ] }, { "cell_type": "markdown", "id": "67973826", "metadata": {}, "source": [ "We visualize the performance of the neural network model on the validation set. This includes a comparative analysis of the samples generated by the neural network and those obtained through simulations in terms of their mean, standard deviation, and overall distribution." ] }, { "cell_type": "code", "execution_count": 13, "id": "e81c72bd", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dg.pl.plot_model_comparison_stats(result_valid_set,state_index=[0,1,2,3])\n", "dg.pl.plot_model_comparison_stats(result_valid_set,state_index=[4,5,6,7])\n", "dg.pl.plot_model_comparison_stats(result_valid_set,state_index=[8,9])" ] }, { "cell_type": "code", "execution_count": 33, "id": "1324514c", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "result_valid_set['observed_datas'],result_valid_set['nn_sample_datas'] = result_valid_set[\"ssa_sample\"],result_valid_set[\"nn_sample\"]\n", "dg.pl.plot_distribution_comparison_nd(result_valid_set)" ] }, { "cell_type": "markdown", "id": "0f09266c", "metadata": {}, "source": [ "### 4. Infer the parameters with DynGPT-Inferrer" ] }, { "cell_type": "markdown", "id": "2b5e257f", "metadata": {}, "source": [ "In this section, we employ the trained model to infer the corresponding stochastic dynamics from the observed data." ] }, { "cell_type": "code", "execution_count": 8, "id": "677263da", "metadata": {}, "outputs": [], "source": [ "valid_dataset_path = \"data/isc/isc_valid_stable.json\"\n", "observed_data,true_params = dg.tl.load_synthetic_data(valid_dataset_path) " ] }, { "cell_type": "markdown", "id": "6cd00cbf", "metadata": {}, "source": [ "For the inference process, the configuration file is also extended from the basic configuration, defining the following hyperparameters: the trained neural network parameters path(`weight_nn_fine_tune_path`), the loss function (`inference_loss_func`), the learning rate(`inference_lr`), the maximum number of iterations(`iteration_steps`), the initial number of parameters sampled from the prior distribution(`random_r0_number`), and the threshold for parameter acceptance(`param_acceptance_threshold`)." ] }, { "cell_type": "code", "execution_count": null, "id": "c6c09672", "metadata": {}, "outputs": [], "source": [ "config_infer = config_basic\n", "# config_infer.weight_nn_fine_tune_path = result_fine_tune[\"weight_nn_fine_tune_path\"]\n", "config_infer.weight_nn_fine_tune_path = \"result/signal_cascade/weights/fine_tune_signal_cascade_epoch800.pt\"\n", "config_infer.inference_loss_func = \"Likelihood\"\n", "config_infer.inference_lr = 0.0001\n", "config_infer.iteration_steps = 80\n", "config_infer.random_r0_number = 2\n", "config_infer.param_acceptance_threshold = 0.5 \n", "result_infer = dg.inferrer.inferring_dynamics(observed_data,config_infer,new_model=True,synthetic_flag=True,test_params = 10)" ] }, { "cell_type": "markdown", "id": "8ea8669d", "metadata": {}, "source": [ "We visualize the distribution obtained from the observational data with the distribution corresponding to the inferred dynamical parameters." ] }, { "cell_type": "code", "execution_count": 31, "id": "db240bfa", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dg.pl.plot_distribution_comparison_nd(result_infer,species_index=[0,1,2,3],data_index = [2])" ] }, { "cell_type": "markdown", "id": "4b04e1e1", "metadata": {}, "source": [ "We visualize the posterior distribution of the inferred dynamical model parameters." ] }, { "cell_type": "code", "execution_count": 41, "id": "08dbeeac", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "result_infer[\"param_names\"] = np.array([\"$ρ$\", \"$k$\", \"$δ$\"])\n", "dg.pl.plot_param_posterior_dist(result_infer,excluded_indexes=[0],true_values=[],param_indexes=[2,6],width_mm = 140,height_inch_ratio = 0.45)" ] } ], "metadata": { "celltoolbar": "原始单元格格式", "kernelspec": { "display_name": "Python [conda env:.conda-hzw_dyngpt_dev]", "language": "python", "name": "conda-env-.conda-hzw_dyngpt_dev-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.13" } }, "nbformat": 4, "nbformat_minor": 5 }