A curated benchmark of enhancer-gene interactions for evaluating enhancer-target gene prediction methods
Jill E. Moore; Henry Pratt; Michael Purcaro; Zhiping Weng · 2020 · Genome biology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
BACKGROUND: Many genome-wide collections of candidate cis-regulatory elements (cCREs) have been defined using genomic and epigenomic data, but it remains a major challenge to connect these elements to their target genes. RESULTS: To facilitate the development of computational methods for predicting target genes, we develop a Benchmark of candidate Enhancer-Gene Interactions (BENGI) by integrating the recently developed Registry of cCREs with experimentally derived genomic interactions. We use BENGI to test several published computational methods for linking enhancers with genes, including sign
Abstract by Jill E. Moore; Henry Pratt; Michael Purcaro; Zhiping Weng, Genome biology (2020) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s13059-019-1924-8