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For: Li J, Segel A, Feng X, Tu JC, Eck A, King KT, Adeyemo B, Karcher NR, Chen L, Eggebrecht AT, Wheelock MD. Network-level enrichment provides a framework for biological interpretation of machine learning results. Netw Neurosci 2024;8:762-790. [PMID: 39355443 PMCID: PMC11349033 DOI: 10.1162/netn_a_00383] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 05/15/2024] [Indexed: 10/03/2024] Open

For:	Li J, Segel A, Feng X, Tu JC, Eck A, King KT, Adeyemo B, Karcher NR, Chen L, Eggebrecht AT, Wheelock MD. Network-level enrichment provides a framework for biological interpretation of machine learning results. Netw Neurosci 2024;8:762-790. [PMID: 39355443 PMCID: PMC11349033 DOI: 10.1162/netn_a_00383] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 05/15/2024] [Indexed: 10/03/2024] Open

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