The Bioinformatic Study Uncovers Probable Critical Genes Involved in the Pathophysiology of Biliary Atresia

Si Chen, Songli Wu, Mingman Zhang

Open source

DOI
10.1155/2022/9108804
Published
2022-06-21
Container
Computational and Mathematical Methods in Medicine
Publisher
Wiley
Open access
unknown

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BibTeX

@article{allodium:10.1155/2022/9108804,
  title = {The Bioinformatic Study Uncovers Probable Critical Genes Involved in the Pathophysiology of Biliary Atresia},
  author = {Si Chen and Songli Wu and Mingman Zhang},
  year = {2022},
  journal = {Computational and Mathematical Methods in Medicine},
  doi = {10.1155/2022/9108804},
  url = {https://doi.org/10.1155/2022/9108804}
}

RIS

TY  - JOUR
TI  - The Bioinformatic Study Uncovers Probable Critical Genes Involved in the Pathophysiology of Biliary Atresia
AU  - Si Chen
AU  - Songli Wu
AU  - Mingman Zhang
PY  - 2022
JO  - Computational and Mathematical Methods in Medicine
DO  - 10.1155/2022/9108804
UR  - https://doi.org/10.1155/2022/9108804
ER  - 

APA

Chen, S., Wu, S., & Zhang, M. (2022). The Bioinformatic Study Uncovers Probable Critical Genes Involved in the Pathophysiology of Biliary Atresia. Computational and Mathematical Methods in Medicine. https://doi.org/10.1155/2022/9108804

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