Precomputed diffusion kernels for the process2phenotype R package
Precomputed diffusion kernels for the process2phenotype R package
Precomputed regularised Laplacian diffusion kernels for protein-protein interaction networks, for use with the process2phenotype R package (https://github.com/adjajadikerta/process2phenotype). Files: - BioGRID_Human_RLK.rds — Regularised Laplacian kernel for the human BioGRID interactome (24,961 × 24,961 matrix) - BioGRID_Yeast_RLK.rds — Regularised Laplacian kernel for the yeast BioGRID interactome (7,345 × 7,345 matrix) - BioGRID_iGraph.rds — igraph network object for the human BioGRID interactome (24,961 nodes)Kernels were computed in 2020 using diffuStats::regularisedLaplacianKernel() on binary protein-protein interaction data from BioGRID (Oughtred et al., 2019).
- University of Cambridge United Kingdom
BioGRID, process-to-phenotype, protein-protein interactions, network propagation, diffusion kernel, disease prediction
BioGRID, process-to-phenotype, protein-protein interactions, network propagation, diffusion kernel, disease prediction
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