UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets
Summary
UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets is a scholarly article[1].
Key Facts
UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/uncles-method-for-the-identification-of-genes-differentially-consistently-co-expressed-in-a-specific-subset-of-datasets
MLA“UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/uncles-method-for-the-identification-of-genes-differentially-consistently-co-expressed-in-a-specific-subset-of-datasets.
BibTeX@misc{4ortxyz_uncles-method-for-the-identification-of-genes-differentially-consistently-co-expressed-in-a-specific-subset-of-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets}}, year = {2026}, url = {https://4ort.xyz/entity/uncles-method-for-the-identification-of-genes-differentially-consistently-co-expressed-in-a-specific-subset-of-datasets}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets — https://4ort.xyz/entity/uncles-method-for-the-identification-of-genes-differentially-consistently-co-expressed-in-a-specific-subset-of-datasets (retrieved 2026-05-24)
