Unlocking the predictive potential of long non-coding RNAs: a machine learning approach for precise cancer patient prognosis

Unlocking the predictive potential of long non-coding RNAs: a machine learning approach for precise cancer patient prognosis

The intricate web of cancer biology is governed by the active participation of long non-coding RNAs (lncRNAs), playing crucial roles in cancer cells’ proliferation, migration, and drug resistance. Pioneering research driven by machine learning algorithms has unveiled the profound ability of specific...

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Bibliographic Details
Main Authors: Yixuan Mo, Joseph Adu-Amankwaah, Wenjie Qin, Tan Gao, Xiaoqing Hou, Mengying Fan, Xuemei Liao, Liwei Jia, Jinming Zhao, Jinxiang Yuan, Rubin Tan
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Annals of Medicine
Subjects:
lncRNA
cancer
machine learning
prognosis prediction
Online Access:https://www.tandfonline.com/doi/10.1080/07853890.2023.2279748

Internet

https://www.tandfonline.com/doi/10.1080/07853890.2023.2279748

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