PNET-PyTorch

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A PyTorch reimplementation of P-NET alongside a dense neural network and a novel Reactome-based GNN, developed to investigate biologically informed architectures for prostate cancer metastasis prediction. Built as part of a Level 4 MSci Computing Science project at the University of Glasgow.

Target software or hardware
P-NET
Work type
Reimplementation and compatibility
Primary public repository
github.com/michael-woods-15/pnet-pytorch
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About and scope

A PyTorch reimplementation of P-NET alongside a dense neural network and a novel Reactome-based GNN, developed to investigate biologically informed architectures for prostate cancer metastasis prediction. Built as part of a Level 4 MSci Computing Science project at the University of Glasgow.

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