Package index
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CellODE-packageCellODE - CellODE: Cellular Dynamics Inference Using Neural ODE
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MakeDataset() - Create Dataset for Training
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TNODE() - Time Neural ODE (TNODE) Model
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Trainer - CellODE Trainer
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cosine_similarity() - Calculate Cosine Similarity
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data_utils - Data Utilities for CellODE
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extract_expression() - Extract Expression Matrix from Seurat Object
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l2_norm() - L2 Norm
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load_model() - Load Trained Model
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log_nb() - Log Probability of Negative Binomial Distribution
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log_zinb() - Log Probability of Zero-Inflated Negative Binomial Distribution
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nn_modules - Neural Network Modules for CellODE
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normal_kl() - KL Divergence between Two Normal Distributions
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ode_solver - Neural ODE Solver for CellODE
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odeint() - Forward ODE Integration
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plot_loss() - Plot Training Loss
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plot_pseudotime() - Plot Pseudotime
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plot_vector_field() - Plot Vector Field
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plotting - Plotting Functions for CellODE
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predict - Prediction Functions for CellODE
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predict_latentsp() - Predict Latent Space for Query Cells
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predict_ltsp_from_time() - Predict Latent Space from Time Points
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predict_time() - Predict Pseudotime for Query Cells
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predict_vector_field() - Predict Vector Field for Query Cells
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reverse_time() - Reverse Pseudotime
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split_data() - Split Data for Training and Validation
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split_index() - Split Indices for Training and Validation
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train - Training Module for CellODE
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utils - Utility Functions for CellODE
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vector_field - Vector Field Analysis for CellODE
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vector_field_embedding() - Vector Field Embedding
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vector_field_embedding_grid() - Vector Field Embedding on Grid
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zzz - Package Startup