Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4

Machine Learning Reveals Aneuploidy Characteristics in Cancers: The Impact of BEX4

Background: Aneuploidy is crucial yet under-explored in cancer pathogenesis. Specifically, the involvement of brain expressed X-linked gene 4 (BEX4) in microtubule formation has been identified as a potential aneuploidy mechanism. Nevertheless, BEX4’s comprehensive impact on aneup...

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Bibliographic Details
Main Authors: Aizhong Xu, Jianjun Liu, Li Tong, Tingting Shen, Songlin Xing, Yujie Xia, Bosen Zhang, Zihao Wu, Wenkang Yuan, Anhai Yu, Zijie Kan, Wenqi Yang, Chao Zhang, Chong Zhang
Format: Article
Language:English
Published: IMR Press 2024-11-01
Series:Frontiers in Bioscience-Landmark
Subjects:
aneuploidy
bex4
machine learning
pan-cancer
biomarkers
Online Access:https://www.imrpress.com/journal/FBL/29/12/10.31083/j.fbl2912407

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https://www.imrpress.com/journal/FBL/29/12/10.31083/j.fbl2912407

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