lagCI enables inference of temporal causal relationships from dense multi-omic time series.

Ge Y, Bai S, Qiang Z, Liu Y, Wu Y, Shen X

DOI: 10.1093/bib/bbag464
Published: 2026 Sep 1
Container: Briefings in bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbag464,
  title = {lagCI enables inference of temporal causal relationships from dense multi-omic time series.},
  author = {Ge Y and Bai S and Qiang Z and Liu Y and Wu Y and Shen X},
  year = {2026},
  journal = {Briefings in bioinformatics},
  doi = {10.1093/bib/bbag464},
  url = {https://doi.org/10.1093/bib/bbag464}
}

RIS

TY  - JOUR
TI  - lagCI enables inference of temporal causal relationships from dense multi-omic time series.
AU  - Ge Y
AU  - Bai S
AU  - Qiang Z
AU  - Liu Y
AU  - Wu Y
AU  - Shen X
PY  - 2026
JO  - Briefings in bioinformatics
DO  - 10.1093/bib/bbag464
UR  - https://doi.org/10.1093/bib/bbag464
ER  -

APA

Y, G., S, B., Z, Q., Y, L., Y, W., & X, S. (2026). lagCI enables inference of temporal causal relationships from dense multi-omic time series.. Briefings in bioinformatics. https://doi.org/10.1093/bib/bbag464

Source records

pubmed · retrieved 2026-09-25T17:45:12.328Z
europe-pmc · retrieved 2026-09-25T17:45:12.362Z