Machine-learning-assisted multi-omics profiling identifies CALB1 as a subtype-associated regulator of PI3K/AKT signaling and malignant progression in non-small cell lung cancer.

Mao F, Wang N, Wang Y, Wang Z, Zhang H, Luo Q

Open source

DOI
10.21037/tlcr-2026-0576
Published
2026 Oct 30
Container
Translational lung cancer research
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.21037/tlcr-2026-0576,
  title = {Machine-learning-assisted multi-omics profiling identifies CALB1 as a subtype-associated regulator of PI3K/AKT signaling and malignant progression in non-small cell lung cancer.},
  author = {Mao F and Wang N and Wang Y and Wang Z and Zhang H and Luo Q},
  year = {2026},
  journal = {Translational lung cancer research},
  doi = {10.21037/tlcr-2026-0576},
  url = {https://doi.org/10.21037/tlcr-2026-0576}
}

RIS

TY  - JOUR
TI  - Machine-learning-assisted multi-omics profiling identifies CALB1 as a subtype-associated regulator of PI3K/AKT signaling and malignant progression in non-small cell lung cancer.
AU  - Mao F
AU  - Wang N
AU  - Wang Y
AU  - Wang Z
AU  - Zhang H
AU  - Luo Q
PY  - 2026
JO  - Translational lung cancer research
DO  - 10.21037/tlcr-2026-0576
UR  - https://doi.org/10.21037/tlcr-2026-0576
ER  - 

APA

F, M., N, W., Y, W., Z, W., H, Z., & Q, L. (2026). Machine-learning-assisted multi-omics profiling identifies CALB1 as a subtype-associated regulator of PI3K/AKT signaling and malignant progression in non-small cell lung cancer.. Translational lung cancer research. https://doi.org/10.21037/tlcr-2026-0576

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