Machine learning-based bulk RNA analysis reveals a prognostic signature of 13 cell death patterns and potential therapeutic target of SMAD3 in acute myeloid leukemia.

Bao X, Chen Y, Chang J, Du J, Yang C, Wu Y, Sha Y, Li M, Chen S, Yang M, Liu SB

Open source

DOI
10.1186/s12885-025-13658-3
Published
2025 Feb 15
Container
BMC cancer
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s12885-025-13658-3,
  title = {Machine learning-based bulk RNA analysis reveals a prognostic signature of 13 cell death patterns and potential therapeutic target of SMAD3 in acute myeloid leukemia.},
  author = {Bao X and Chen Y and Chang J and Du J and Yang C and Wu Y and Sha Y and Li M and Chen S and Yang M and Liu SB},
  year = {2025},
  journal = {BMC cancer},
  doi = {10.1186/s12885-025-13658-3},
  url = {https://doi.org/10.1186/s12885-025-13658-3}
}

RIS

TY  - JOUR
TI  - Machine learning-based bulk RNA analysis reveals a prognostic signature of 13 cell death patterns and potential therapeutic target of SMAD3 in acute myeloid leukemia.
AU  - Bao X
AU  - Chen Y
AU  - Chang J
AU  - Du J
AU  - Yang C
AU  - Wu Y
AU  - Sha Y
AU  - Li M
AU  - Chen S
AU  - Yang M
AU  - Liu SB
PY  - 2025
JO  - BMC cancer
DO  - 10.1186/s12885-025-13658-3
UR  - https://doi.org/10.1186/s12885-025-13658-3
ER  - 

APA

X, B., Y, C., J, C., J, D., C, Y., Y, W., Y, S., M, L., S, C., M, Y., & SB, L. (2025). Machine learning-based bulk RNA analysis reveals a prognostic signature of 13 cell death patterns and potential therapeutic target of SMAD3 in acute myeloid leukemia.. BMC cancer. https://doi.org/10.1186/s12885-025-13658-3

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