Uncovering causal relationships in single-cell omic studies with causarray.

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Bibliographic Details
Title: Uncovering causal relationships in single-cell omic studies with causarray.
Authors: Du JH; Department of Statistics and Actuarial Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR 00000, China.; Musketeers Foundation Institute of Data Science, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR 00000, China., Shen M; Department of Statistics and Data Science, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States., Mathys H; Department of Neurobiology, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA 15261, United States., Roeder K; Department of Statistics and Data Science, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States.; Computational Biology Department, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States.
Source: Briefings in bioinformatics [Brief Bioinform] 2026 Mar 01; Vol. 27 (2).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium: Internet ISSN: 1477-4054 (Electronic) Linking ISSN: 14675463 NLM ISO Abbreviation: Brief Bioinform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1477-4054
DOI:10.1093/bib/bbag175