View in EDS

Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.

Saved in:
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
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40833404
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Radhakrishnan+A%22">Radhakrishnan A</searchLink>; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142.; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139.<br /><searchLink fieldCode="AU" term="%22Jain+Y%22">Jain Y</searchLink>; Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142.<br /><searchLink fieldCode="AU" term="%22Uhler+C%22">Uhler C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lander+ES%22">Lander ES</searchLink>; 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.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227505876%22">Proceedings of the National Academy of Sciences of the United States of America</searchLink> [Proc Natl Acad Sci U S A] 2025 Aug 26; Vol. 122 (34), pp. e2509860122. <i>Date of Electronic Publication: </i>2025 Aug 20.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22National+Academy+of+Sciences%22">National Academy of Sciences </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7505876 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1091-6490 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200278424%22">00278424 </searchLink><i>NLM ISO Abbreviation: </i>Proc Natl Acad Sci U S A <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40833404
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1073/pnas.2509860122
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e2509860122
    Titles:
      – TitleFull: Efficiently quantifying dependence in massive scientific datasets using InterDependence Scores.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Radhakrishnan A
      – PersonEntity:
          Name:
            NameFull: Jain Y
      – PersonEntity:
          Name:
            NameFull: Uhler C
      – PersonEntity:
          Name:
            NameFull: Lander ES
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 26
              M: 08
              Text: 2025 Aug 26
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1091-6490
          Numbering:
            – Type: volume
              Value: 122
            – Type: issue
              Value: 34
          Titles:
            – TitleFull: Proceedings of the National Academy of Sciences of the United States of America
              Type: main
ResultId 1