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scACCorDiON: a clustering approach for explainable patient level cell–cell communication graph analysis Open Access

; ; ;

In
Bioinformatics 41(5), Seiten/Artikel-Nr.:btaf288

: Oxford University Press

Umfang[1]-10

ISSN1367-4811

Online
DOI: 10.1093/bioinformatics/btaf288

DOI: 10.18154/RWTH-CONV-254938
URL: https://publications.rwth-aachen.de/record/1023268/files/1023268.pdf

Einrichtungen

  1. Institut und Lehrstuhl für Computergestützte Genomik (530000-5 ; 925410)
  2. Lehrstuhl für Computational Network Science (125230 ; 125210)


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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105007012559
WOS Core Collection: WOS:001498247500001
PubMed: pmid:40327499

Interne Identnummern
RWTH-CONV-254938
Datensatz-ID: 1023268

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO


Creative Commons Attribution CC BY 4.0 ; OpenAccess

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The record appears in these collections:
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Publication server / Open Access
Faculty of Computer Science (Fac.9)
Faculty of Medicine (Fac.10)
Public records
530000\-5
Publications database
125230

 Record created 2025-12-11, last modified 2026-01-21


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