Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma

Ze Liu, Yanhui Wu, Shanshan Wang, Fei Lin, Lin Wan, Peng Song

Open source

DOI: 10.1049/syb2.70062
Published: 2026-01
Container: IET Systems Biology
Publisher: Institution of Engineering and Technology (IET)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1049/syb2.70062,
  title = {Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma},
  author = {Ze Liu and Yanhui Wu and Shanshan Wang and Fei Lin and Lin Wan and Peng Song},
  year = {2026},
  journal = {IET Systems Biology},
  doi = {10.1049/syb2.70062},
  url = {https://doi.org/10.1049/syb2.70062}
}

RIS

TY  - JOUR
TI  - Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma
AU  - Ze Liu
AU  - Yanhui Wu
AU  - Shanshan Wang
AU  - Fei Lin
AU  - Lin Wan
AU  - Peng Song
PY  - 2026
JO  - IET Systems Biology
DO  - 10.1049/syb2.70062
UR  - https://doi.org/10.1049/syb2.70062
ER  -

APA

Liu, Z., Wu, Y., Wang, S., Lin, F., Wan, L., & Song, P. (2026). Application of Fast Integration Strategy for Multi‐Omics Data and Limited Random Forest Model in Survival Prediction of Glioblastoma. IET Systems Biology. https://doi.org/10.1049/syb2.70062

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crossref · retrieved 2026-09-26T15:07:21.146Z