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Cancer is one of the leading causes of death worldwide, which brings an urgent need for its effective treatment. However, cancer is highly heterogeneous, meaning that one cancer can be divided into several subtypes with distinct pathogenesis and outcomes. This is considered as the main problem which limits the precision treatment of cancer. Thus, cancer subtypes identification is of great importance for cancer diagnosis and treatment. In this work, we propose a deep learning method which isdoi:10.3389/fgene.2022.855629 pmid:35391797 pmcid:PMC8979770 fatcat:v5cs2wle6zcxxox6aewnnni2ku