A novel causality-based method for identifying drivers of breast cancer progression.

Shen L, Zhang Y, Zhou X, Li J, Liu L, Zhang W, Zhang HY, Li X, Cheng D, Feng Z

DOI: 10.1093/bioinformatics/btag661
Published: 2026 Aug 31
Container: Bioinformatics (Oxford, England)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btag661,
  title = {A novel causality-based method for identifying drivers of breast cancer progression.},
  author = {Shen L and Zhang Y and Zhou X and Li J and Liu L and Zhang W and Zhang HY and Li X and Cheng D and Feng Z},
  year = {2026},
  journal = {Bioinformatics (Oxford, England)},
  doi = {10.1093/bioinformatics/btag661},
  url = {https://doi.org/10.1093/bioinformatics/btag661}
}

RIS

TY  - JOUR
TI  - A novel causality-based method for identifying drivers of breast cancer progression.
AU  - Shen L
AU  - Zhang Y
AU  - Zhou X
AU  - Li J
AU  - Liu L
AU  - Zhang W
AU  - Zhang HY
AU  - Li X
AU  - Cheng D
AU  - Feng Z
PY  - 2026
JO  - Bioinformatics (Oxford, England)
DO  - 10.1093/bioinformatics/btag661
UR  - https://doi.org/10.1093/bioinformatics/btag661
ER  -

APA

L, S., Y, Z., X, Z., J, L., L, L., W, Z., HY, Z., X, L., D, C., & Z, F. (2026). A novel causality-based method for identifying drivers of breast cancer progression.. Bioinformatics (Oxford, England). https://doi.org/10.1093/bioinformatics/btag661

Source records

pubmed · retrieved 2026-09-25T10:16:33.908Z