A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas.

Zhao S, Chi H, Ji W, He Q, Lai G, Peng G, Zhao X, Cheng C

DOI: 10.3390/brainsci12101349
Published: 2022 Oct 5
Container: Brain sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/brainsci12101349,
  title = {A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas.},
  author = {Zhao S and Chi H and Ji W and He Q and Lai G and Peng G and Zhao X and Cheng C},
  year = {2022},
  journal = {Brain sciences},
  doi = {10.3390/brainsci12101349},
  url = {https://doi.org/10.3390/brainsci12101349}
}

RIS

TY  - JOUR
TI  - A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas.
AU  - Zhao S
AU  - Chi H
AU  - Ji W
AU  - He Q
AU  - Lai G
AU  - Peng G
AU  - Zhao X
AU  - Cheng C
PY  - 2022
JO  - Brain sciences
DO  - 10.3390/brainsci12101349
UR  - https://doi.org/10.3390/brainsci12101349
ER  -

APA

S, Z., H, C., W, J., Q, H., G, L., G, P., X, Z., & C, C. (2022). A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas.. Brain sciences. https://doi.org/10.3390/brainsci12101349

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pubmed · retrieved 2026-09-26T03:22:01.502Z