Comprehensive details for each cancer dataset employed in this study are provided.

<p>The datasets are characterized by the feature dimensions of mRNA expression, miRNA expression, and DNA methylation, respectively.</p>

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Detalles Bibliográficos
Autor Principal:	Mengxiang Lin (22784287) (author)
Outros autores:	Rongqi Fan (22784290) (author), Saisai Zhu (17060089) (author), Xiaoqiang Yan (345423) (author), Quan Zou (157931) (author), Zhen Tian (438719) (author)
Publicado:	2025
Subjects:	Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified identify potential biomarkers experimental results validating enable personalized therapies differential expression analysis construct negative pairs specific therapeutic drugs cancer subtypes identified effectively capturing inter div >< p decoupled contrastive multi contrastive clustering methods view clustering architecture view clustering specific information clustering process cancer ’ art methods view relationships view consistency allowing view superior performance source code significant efforts random sampling omics data novel end maintaining cross learned representations label rectification integrating multi end self effective diagnosis available online 19 state
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