Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.

Saved in:
Bibliographic Details
Title: Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.
Authors: Bhattacharya A; Department of Statistics and Data Science, Washington University in St. Louis., Chakraborty N; Department of Statistics and Data Science, Washington University in St. Louis.; Department of Mathematics and Statistics, Missouri University of Science and Technology., Wang X; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Tu JC; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Dierker D; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Eck A; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Lahiri S; Department of Statistics and Data Science, Washington University in St. Louis., Eggebrecht A; Mallinckrodt Institute of Radiology, Washington University in St. Louis., Wheelock MD; Mallinckrodt Institute of Radiology, Washington University in St. Louis.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Nov 14. Date of Electronic Publication: 2025 Nov 14.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41292986
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Bhattacharya+A%22">Bhattacharya A</searchLink>; Department of Statistics and Data Science, Washington University in St. Louis.<br /><searchLink fieldCode="AU" term="%22Chakraborty+N%22">Chakraborty N</searchLink>; Department of Statistics and Data Science, Washington University in St. Louis.; Department of Mathematics and Statistics, Missouri University of Science and Technology.<br /><searchLink fieldCode="AU" term="%22Wang+X%22">Wang X</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis.<br /><searchLink fieldCode="AU" term="%22Tu+JC%22">Tu JC</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis.<br /><searchLink fieldCode="AU" term="%22Dierker+D%22">Dierker D</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis.<br /><searchLink fieldCode="AU" term="%22Eck+A%22">Eck A</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis.<br /><searchLink fieldCode="AU" term="%22Lahiri+S%22">Lahiri S</searchLink>; Department of Statistics and Data Science, Washington University in St. Louis.<br /><searchLink fieldCode="AU" term="%22Eggebrecht+A%22">Eggebrecht A</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis.<br /><searchLink fieldCode="AU" term="%22Wheelock+MD%22">Wheelock MD</searchLink>; Mallinckrodt Institute of Radiology, Washington University in St. Louis.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2025 Nov 14. <i>Date of Electronic Publication: </i>2025 Nov 14.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Preprint
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41292986
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1101/2025.11.13.688333
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Comparative Evaluation of Assumption Lean Community Detection Methods for Human Connectome Networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Bhattacharya A
      – PersonEntity:
          Name:
            NameFull: Chakraborty N
      – PersonEntity:
          Name:
            NameFull: Wang X
      – PersonEntity:
          Name:
            NameFull: Tu JC
      – PersonEntity:
          Name:
            NameFull: Dierker D
      – PersonEntity:
          Name:
            NameFull: Eck A
      – PersonEntity:
          Name:
            NameFull: Lahiri S
      – PersonEntity:
          Name:
            NameFull: Eggebrecht A
      – PersonEntity:
          Name:
            NameFull: Wheelock MD
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 14
              M: 11
              Text: 2025 Nov 14
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2692-8205
          Titles:
            – TitleFull: BioRxiv : the preprint server for biology
              Type: main
ResultId 1