MetaGNN data v1: processed inputs and per-experiment artefacts
收藏DataCite Commons2026-05-04 更新2026-05-07 收录
下载链接：
https://zenodo.org/doi/10.5281/zenodo.20000079
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资源简介：
This deposit contains the processed input tensors, model checkpoints, and multi-seed prediction trees that accompany the MetaGNN framework. The companion code repository is at https://github.com/thiptanawat/MetaGNN-Framework.
Contents (one tarball per subset):
recon3d — Recon3D bipartite graph artefacts (SBML, stoichiometric matrix, metabolite features)
tcga_crc_220 — 220-patient TCGA-CRC processed inputs
tcga_crc_624 — 624-patient TCGA-CRC processed inputs
tcga_brca — TCGA-BRCA processed graph + checkpoint (cross-cancer)
tcga_luad — TCGA-LUAD processed graph + checkpoint (cross-cancer)
hma_labels — HMA 11-tissue-union activity pseudolabels
cptac_brca — CPTAC-BRCA same-platform discriminator inputs
metabric — METABRIC microarray cross-consortium discriminator inputs
depmap — DepMap CRISPR-essentiality + tissue GEMs
training_logs — multi-seed prediction trees and fold-level CSVs
Each subset unpacks into shared_data/<subset>/ in the GitHub repo. Verify integrity against the SHA-256 manifest SHA256SUMS.txt.
Raw TCGA sequencing data are subject to dbGaP restrictions and are not redistributed here; they are fetched on demand by the download scripts in the GitHub repository.
提供机构：
Zenodo
创建时间：
2026-05-04
