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Gene Swin transformer: new deep learning method for colorectal cancer prognosis using transcriptomic data

1 May 2025

Abstract excerpt

Transcriptome sequencing has become essential in clinical tumor research, providing in-depth insights into the biology and functionality of tumor cells. However, the vast amount of data generated and the complex relationships between gene expressions make it challenging to effectively identify clinically relevant information. In this study, we developed a method called Gene Swin Transformer to address these...

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PMID: 40515391
DOI: 10.1093/bib/bbaf275

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