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Rapid Communication | Open Access

Predicting anti-cancer drug sensitivity through WRE-XGBoost algorithm with weighted feature selection

Yiyao Jianga,b, Ming Chena,b, Zhongmin Xionga,b( ), Yufang Qina,b( )
College of Information Technology, Shanghai Ocean University, Shanghai, 201306, China
Key Laboratory of Fisheries Information Ministry of Agriculture, Shanghai, 201306, China

Peer review under responsibility of Chongqing Medical University.

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References

1

Pinho SS, Reis CA. Glycosylation in cancer: mechanisms and clinical implications. Nat Rev Cancer. 2015;15(9):540-555.
Crossref Google Scholar
2

Wu J, Guan M, Wong P, Yu H, Dong J, Xu J. Icariside Ⅱ potentiates paclitaxel-induced apoptosis in human melanoma A375 cells by inhibiting TLR4 signaling pathway. Food Chem Toxicol. 2012;50:3019-3024.
Crossref Google Scholar
3

Pan CH, Chang YF, Lee MS, et al. Vorinostat enhances the cisplatin-mediated anticancer effects in small cell lung cancer cells. BMC Cancer. 2016;16(1):857.
Crossref Google Scholar
4

Nguyen TT, Lee HS, Burt BM, et al. A lepidic gene signature predicts patient prognosis and sensitivity to immunotherapy in lung adenocarcinoma. Genome Med. 2022;14(1):5.
Crossref Google Scholar
5

Dean EJ, Cummings J, Roulston A, et al. Optimization of circulating biomarkers of obatoclax-induced cell death in patients with small cell lung cancer. Neoplasia. 2011;13(4):339-347.
Crossref Google Scholar
Genes & Diseases
Volume 12 Issue 2,
March 2025
Article number: 101275
DOI: 10.1016/j.gendis.2024.101275
Cite this article:
Jiang Y, Chen M, Xiong Z, et al. Predicting anti-cancer drug sensitivity through WRE-XGBoost algorithm with weighted feature selection. Genes & Diseases, 2025, 12(2): 101275. https://doi.org/10.1016/j.gendis.2024.101275

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Received: 10 August 2023
Published: 22 March 2024
© 2024 The Authors.

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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