<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Eble H</submitter><funding>NIDDK NIH HHS</funding><funding>NIH HHS</funding><pagination>e2300634120</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10743376</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>120(51)</volume><pubmed_abstract>A longstanding goal of biology is to identify the key genes and species that critically impact evolution, ecology, and health. Network analysis has revealed keystone species that regulate ecosystems and master regulators that regulate cellular genetic networks. Yet these studies have focused on pairwise biological interactions, which can be affected by the context of genetic background and other species present, generating higher-order interactions. The important regulators of higher-order interactions are unstudied. To address this, we applied a high-dimensional geometry approach that quantifies epistasis in a fitness landscape to ask how individual genes and species influence the interactions in the rest of the biological network. We then generated and also reanalyzed 5-dimensional datas</pubmed_abstract><journal>Proceedings of the National Academy of Sciences of the United States of America</journal><pubmed_title>Master regulators of biological systems in higher dimensions.</pubmed_title><pmcid>PMC10743376</pmcid><funding_grant_id>R01 DK128454</funding_grant_id><funding_grant_id>DP5 OD017851</funding_grant_id><pubmed_authors>Joswig M</pubmed_authors><pubmed_authors>Ludington WB</pubmed_authors><pubmed_authors>Eble H</pubmed_authors><pubmed_authors>Lamberti L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Master regulators of biological systems in higher dimensions.</name><description>A longstanding goal of biology is to identify the key genes and species that critically impact evolution, ecology, and health. Network analysis has revealed keystone species that regulate ecosystems and master regulators that regulate cellular genetic networks. Yet these studies have focused on pairwise biological interactions, which can be affected by the context of genetic background and other species present, generating higher-order interactions. The important regulators of higher-order interactions are unstudied. To address this, we applied a high-dimensional geometry approach that quantifies epistasis in a fitness landscape to ask how individual genes and species influence the interactions in the rest of the biological network. We then generated and also reanalyzed 5-dimensional datas</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Dec</publication><modification>2025-04-19T16:44:40.3Z</modification><creation>2025-04-19T16:44:40.3Z</creation></dates><accession>S-EPMC10743376</accession><cross_references><pubmed>38096409</pubmed><doi>10.1073/pnas.2300634120</doi></cross_references></HashMap>