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

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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
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  Data: <searchLink fieldCode="AU" term="%22Du+JH%22">Du JH</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Shen+M%22">Shen M</searchLink>; Department of Statistics and Data Science, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, United States.<br /><searchLink fieldCode="AU" term="%22Mathys+H%22">Mathys H</searchLink>; Department of Neurobiology, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA 15261, United States.<br /><searchLink fieldCode="AU" term="%22Roeder+K%22">Roeder K</searchLink>; 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.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100912837 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-4054 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214675463%22">14675463 </searchLink><i>NLM ISO Abbreviation: </i>Brief Bioinform <i>Subsets: </i>MEDLINE
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        Value: 10.1093/bib/bbag175
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        Text: English
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      – TitleFull: Uncovering causal relationships in single-cell omic studies with causarray.
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            – D: 01
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              Text: 2026 Mar 01
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              Y: 2026
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              Value: 1477-4054
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