Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.

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Bibliographic Details
Title: Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.
Authors: Radhakrishnan A; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142.; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139., Jain Y; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142., Uhler C; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142.; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139., Lander ES; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142.; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139.; Department of Systems Biology, Harvard Medical School, Boston, MA 02115.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2025 Aug 26; Vol. 122 (34), pp. e2509860122. Date of Electronic Publication: 2025 Aug 20.
Publication Type: Journal Article
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1091-6490
DOI:10.1073/pnas.2509860122