Interpretable deep cross networks unveiled common signatures of dysregulated epitranscriptomes across 12 cancer types

Interpretable deep cross networks unveiled common signatures of dysregulated epitranscriptomes across 12 cancer types

Cancer is a complex and multifaceted group of diseases characterized by uncontrolled cell growth that leads to the formation of malignant tumors. Recent studies suggest that N6-methyladenosine (m6A) RNA methylation plays pivotal roles in cancer pathology by influencing various cellular processes. Ho...

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Bibliographic Details
Main Authors: Rong Xia, Xiangyu Yin, Jiaming Huang, Kunqi Chen, Jiongming Ma, Zhen Wei, Jionglong Su, Neil Blake, Daniel J. Rigden, Jia Meng, Bowen Song
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Molecular Therapy: Nucleic Acids
Subjects:
MT: Bioinformatics
N6-methyladenosine methylation
m6A
epitranscriptomics
genomic patterns
interpretable deep cross networks
Online Access:http://www.sciencedirect.com/science/article/pii/S2162253124002634

Internet

http://www.sciencedirect.com/science/article/pii/S2162253124002634

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