Back to search

Article

Propagation of Benchmarking Uncertainty Through Downstream Analysis: From Network Inference Ranking to Biological Discovery

2026-04-17

Abstract excerpt

Rank-based benchmarking is the standard approach for evaluating Gene Regulatory Network (GRN) inference methods. However, recent work has revealed substantial ranking instability across common evaluation protocol axes, such as choice of gold standard reference, similarity metric, or thresholding strategy. While this instability calls method rankings into question, its downstream biological consequences remain larg...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
087af37a-ca1b-57a9-a19a-5dd1cdd0ad0f
DOI
10.14293/pr2199.003412.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Propagation of Benchmarking Uncertainty Through Downstream Analysis: From Network Inference Ranking to Biological DiscoveryDOI 10.14293/pr2199.003412.v1
Select a neighboring publication to make it the new centre.