Genomic Data GNN Implementation with Python

Master the application of Graph Neural Networks to genomic data, from constructing graph representations to implementing and evaluating GNN models using Python and PyTorch Geometric.

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Foundations of Genomic Graph Representation

Unit 1: Genomic Data as Graphs: The Basics

Unit 2: Building Genomic Graphs in Python

Unit 3: Preparing Genomic Graphs for GNNs

Building and Training Basic GNN Models for Genomics

Unit 1: PyTorch Geometric Essentials for Genomics

Unit 2: Core GNN Layers for Genomic Tasks

Unit 3: Building GNN Models for Genomic Tasks

Unit 4: Training Pipeline Essentials

Unit 5: Hyperparameter Tuning Basics

Evaluating and Interpreting GNN Performance on Genomic Data

Unit 1: Training GNNs on Genomic Data

Unit 2: Evaluating GNN Performance

Unit 3: Interpreting GNN Results