Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma.

Yang M, He H, Peng T, Lu Y, Yu J

DOI: 10.1155/2022/8598046
Published: 2022
Container: Computational intelligence and neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/8598046,
  title = {Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma.},
  author = {Yang M and He H and Peng T and Lu Y and Yu J},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/8598046},
  url = {https://doi.org/10.1155/2022/8598046}
}

RIS

TY  - JOUR
TI  - Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma.
AU  - Yang M
AU  - He H
AU  - Peng T
AU  - Lu Y
AU  - Yu J
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/8598046
UR  - https://doi.org/10.1155/2022/8598046
ER  -

APA

M, Y., H, H., T, P., Y, L., & J, Y. (2022). Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/8598046

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pubmed · retrieved 2026-09-25T00:24:32.624Z