OgBench benchmarks GNNs on omics graphs in the n << p regime and reports that standard GNNs often fail to beat MLPs and classical baselines.
Next-generation sequencing technology: current trends and advancements.Biology, 12(7):997
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New imbalanced NGS dataset pairs QC-34 features with ENCODE blocklist features on the same human and mouse samples to study quality control prediction.
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OgBench: A Framework for Evaluating Graph Neural Networks on Omics Data
OgBench benchmarks GNNs on omics graphs in the n << p regime and reports that standard GNNs often fail to beat MLPs and classical baselines.
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An Imbalanced Dataset with Multiple Feature Representations for Studying Quality Control of Next-Generation Sequencing
New imbalanced NGS dataset pairs QC-34 features with ENCODE blocklist features on the same human and mouse samples to study quality control prediction.