View in EDS

Neighborhood clustering analysis to define epithelial-stromal interface for tumor infiltrating lymphocyte evaluation.

Saved in:
Bibliographic Details
Title: Neighborhood clustering analysis to define epithelial-stromal interface for tumor infiltrating lymphocyte evaluation.
Authors: Yeung T; Pathology and Laboratory Medicine, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA., Zhang Y; Pathology and Laboratory Medicine, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA., Zhou Q; Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, 6 Floor, Toronto M5S 1A8, ON, Canada., Burack R; Pathology and Laboratory Medicine, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA.
Source: Journal of pathology informatics [J Pathol Inform] 2025 Aug 06; Vol. 19, pp. 100465. Date of Electronic Publication: 2025 Aug 06 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: In Process
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40927300
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Neighborhood clustering analysis to define epithelial-stromal interface for tumor infiltrating lymphocyte evaluation.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Yeung+T%22">Yeung T</searchLink>; Pathology and Laboratory Medicine, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+Y%22">Zhang Y</searchLink>; Pathology and Laboratory Medicine, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA.<br /><searchLink fieldCode="AU" term="%22Zhou+Q%22">Zhou Q</searchLink>; Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, 6 Floor, Toronto M5S 1A8, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Burack+R%22">Burack R</searchLink>; Pathology and Laboratory Medicine, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101528849%22">Journal of pathology informatics</searchLink> [J Pathol Inform] 2025 Aug 06; Vol. 19, pp. 100465. <i>Date of Electronic Publication: </i>2025 Aug 06 (<i>Print Publication: </i>2025).
– 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="%22Elsevier+Inc%22">Elsevier Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101528849 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2229-5089 (Print) <i>NLM ISO Abbreviation: </i>J Pathol Inform <i>Subsets: </i>In Process
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40927300
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.jpi.2025.100465
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 100465
    Titles:
      – TitleFull: Neighborhood clustering analysis to define epithelial-stromal interface for tumor infiltrating lymphocyte evaluation.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Yeung T
      – PersonEntity:
          Name:
            NameFull: Zhang Y
      – PersonEntity:
          Name:
            NameFull: Zhou Q
      – PersonEntity:
          Name:
            NameFull: Burack R
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 06
              M: 08
              Text: 2025 Aug 06
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 2229-5089
          Numbering:
            – Type: volume
              Value: 19
          Titles:
            – TitleFull: Journal of pathology informatics
              Type: main
ResultId 1