{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:56:46Z","timestamp":1767034606993,"version":"3.41.2"},"reference-count":58,"publisher":"Oxford University Press (OUP)","issue":"5","license":[{"start":{"date-parts":[[2022,9,10]],"date-time":"2022-09-10T00:00:00Z","timestamp":1662768000000},"content-version":"vor","delay-in-days":18,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DGE-1632976"],"award-info":[{"award-number":["DGE-1632976"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Air Force Research Laboratory and Defense Advanced Research Projects Agency","award":["FA8750-20-2-1001"],"award-info":[{"award-number":["FA8750-20-2-1001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>We investigate the partial information decomposition (PID) framework as a tool for edge nomination. We consider both the $I_{\\cap}^{\\text{min}}$ and $I_{\\cap}^{\\text{PM}}$ PIDs, from Williams &amp; Beer (2010, Nonnegative decomposition of multivariate information, CoRR, arXiv:2106.12393) and Finn &amp; Lizier (2018, Entropy, 20, 297), respectively, and we both numerically and analytically investigate the utility of these frameworks for discovering significant edge interactions. In the course of our work, we extend both the $I_{\\cap}^{\\text{min}}$ and $I_{\\cap}^{\\text{PM}}$ PIDs to a general class of continuous trivariate systems. Moreover, we examine how each PID apportions information into redundant, synergistic and unique information atoms within the source-bivariate PID framework. Both our simulation experiments and analytic inquiry indicate that the atoms of the $I_{\\cap}^{\\text{PM}}$ PID have a non-specific sensitivity to high predictor-target mutual information, regardless of whether or not the predictors are truly interacting. By contrast, the $I_{\\cap}^{\\text{min}}$ PID is quite specific, although simulations suggest that it lacks sensitivity.<\/jats:p>","DOI":"10.1093\/comnet\/cnac026","type":"journal-article","created":{"date-parts":[[2022,9,10]],"date-time":"2022-09-10T19:18:48Z","timestamp":1662837528000},"source":"Crossref","is-referenced-by-count":4,"title":["Signed and unsigned partial information decompositions of continuous network interactions"],"prefix":"10.1093","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4937-8912","authenticated-orcid":false,"given":"Jesse","family":"Milzman","sequence":"first","affiliation":[{"name":"Computational and Information Sciences Directorate, DEVCOM Army Research Laboratory , 2800 Powder Mill Rd, Adelphi, MD 20783, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vince","family":"Lyzinski","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Maryland , 4176 Campus Dr., College Park, MD 20742, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2022,9,10]]},"reference":[{"key":"2023091000192190300_B1","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1007\/0-387-21679-0_19","article-title":"Relevance networks: a first step toward finding genetic regulatory networks within microarray data","volume-title":"The Analysis of Gene Expression Data","author":"Butte,","year":"2003"},{"key":"2023091000192190300_B2","doi-asserted-by":"crossref","first-page":"12182","DOI":"10.1073\/pnas.220392197","article-title":"Discovering functional relationships between RNA expression and chemotherapeutic susceptibility using relevance networks","volume":"97","author":"Butte,","year":"2000","journal-title":"Proc. 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