{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Reed E"],"funding":["NIA NIH HHS"],"pubmed_abstract":["False discovery is an ever-present concern in omics research, especially for burgeoning technologies with unvetted specificity of their biomolecular measurements, as such unknowns obscure the ability to characterize biologically informative features from studies performed with any single platform. Accordingly, performing replication studies of the same samples using different omics platforms is a viable strategy for identifying high-confidence molecular associations that are conserved across studies. However, an important caveat of replication studies that include the same samples is that they are inherently non-independent, leading to overestimation of conservation if studies are treated otherwise. Strategies for accounting for such inter-study dependencies have been proposed for meta-ana"],"journal":["bioRxiv : the preprint server for biology"],"pagination":["2023.11.22.568276"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10690236"],"repository":["biostudies-literature"],"pubmed_title":["A Simple Strategy for Identifying Conserved Features across Non-independent Omics Studies."],"pmcid":["PMC10690236"],"funding_grant_id":["UH2 AG064704","R01 AG061844","U19 AG023122"],"pubmed_authors":["Sebastiani P","Reed E"],"additional_accession":[]},"is_claimable":false,"name":"A Simple Strategy for Identifying Conserved Features across Non-independent Omics Studies.","description":"False discovery is an ever-present concern in omics research, especially for burgeoning technologies with unvetted specificity of their biomolecular measurements, as such unknowns obscure the ability to characterize biologically informative features from studies performed with any single platform. Accordingly, performing replication studies of the same samples using different omics platforms is a viable strategy for identifying high-confidence molecular associations that are conserved across studies. However, an important caveat of replication studies that include the same samples is that they are inherently non-independent, leading to overestimation of conservation if studies are treated otherwise. Strategies for accounting for such inter-study dependencies have been proposed for meta-ana","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Nov","modification":"2025-04-19T11:35:46.171Z","creation":"2025-04-19T11:35:46.171Z"},"accession":"S-EPMC10690236","cross_references":{"pubmed":["38045352"],"doi":["10.1101/2023.11.22.568276"]}}