Machine learning and bioinformatics-based insights into the potential targets of saponins in Paris polyphylla smith against non-small cell lung cancer

Machine learning and bioinformatics-based insights into the potential targets of saponins in Paris polyphylla smith against non-small cell lung cancer

Background: Lung cancer has the highest mortality rate among cancers worldwide, and non-small cell lung cancer (NSCLC) is the major lethal factor. Saponins in Paris polyphylla smith exhibit antitumor activity against non-small cell lung cancer, but their targets are not fully understood.Methods: In...

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Bibliographic Details
Main Authors: Yue Wang, Xulong Huang, Bin Xian, Huajuan Jiang, Tao Zhou, Siyu Chen, Feiyan Wen, Jin Pei
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Genetics
Subjects:
bioinformatics
key genes
Paris polyphylla smith
non-small cell lung cancer
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.1005896/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.1005896/full

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