Hybrid GNN-RNN Model for Cardiomyocyte Differentiation Prediction
收藏DataCite Commons2025-11-06 更新2026-05-07 收录
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https://unisa.figshare.com/articles/dataset/Hybrid_GNN-RNN_Model_for_Cardiomyocyte_Differentiation_Prediction/30550844
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资源简介：
This contains datasets used in the development of a hybrid GNN-RNN framework for cardiomyocyte differentiationA state-of-the-art deep learning framework that combines Graph Neural Networks (GNN) and Recurrent Neural Networks (RNN) for predicting cardiomyocyte differentiation trajectories. This project integrates <b>spatial multi-omics data</b> (spatial transcriptomics) with temporal gene expression patterns to achieve superior classification performance and biological interpretability(<b>96.67% accuracy</b>).Files
提供机构：
University of South Africa
创建时间：
2025-11-06
