Identification of key hub genes associated with anti-gastric cancer effects of lotus plumule based on machine learning algorithms

doi:10.4251/wjgo.v17.i4.103048

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Apr 15, 2025 (publication date) through Mar 31, 2025

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Apr 15, 2025; 17(4): 103048
Published online Apr 15, 2025. doi: 10.4251/wjgo.v17.i4.103048

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Figure 4 Application of machine learning for screening hub genes. A and B: Six genes were identified through the LASSO regression algorithm; C and D: Support vector machines-recursive feature elimination algorithm to extract 3 genes; E: Random forest algorithm to select 12 genes; F: Venn network to intersect 4 gene subsets; G: Gene set enrichment analysis graph of hub genes.

Citation: Meng FD, Jia SM, Ma YB, Du YH, Liu WJ, Yang Y, Yuan L, Nan Y. Identification of key hub genes associated with anti-gastric cancer effects of lotus plumule based on machine learning algorithms. World J Gastrointest Oncol 2025; 17(4): 103048
URL: https://www.wjgnet.com/1948-5204/full/v17/i4/103048.htm
DOI: https://dx.doi.org/10.4251/wjgo.v17.i4.103048