Article

A Knowledge-Driven Framework for Stabilizing Gene Regulatory Network Benchmark Rankings Using Documented Community Consensus

2026-04-17

Abstract excerpt

<h4>Background: </h4> Benchmarking studies for Gene Regulatory Network (GRN) inference algorithms exhibit significant ranking instability across different evaluation protocol axes, including choice of gold standard, scoring metric, data splitting strategy, and network size. This instability undermines trust in automated method selection for intelligent organizational decision systems in bioinformatics. <h4>Objecti...

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Literature Corpus work: 8ee9660e-c7f1-5249-98f1-fb16b4e25ad9
DOI: 10.14293/pr2199.003416.v1

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