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Unsupervised machine learning-based clustering identifies unique molecular signatures of colorectal cancer with distinct clinical outcomes

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摘要 Colorectal cancer(CRC)is known to harbor considerable heterogeneity.1 Consequently,it could be hypothesized that similar-appearing tumors might exhibit substantial genetic differences while diverse-appearing tumors may have a similar genetic landscape.2 Due to these differences at the molecular level,they behave or respond differently to therapies as well.CRC progression is a multistep process and involves the accumulation of substantial genetic and epigenetic events in a stage-dependent manner.
出处 《Genes & Diseases》 SCIE CSCD 2023年第6期2270-2273,共4页 基因与疾病(英文)
基金 funded by the Department of Biotechnology India section order 6242-P103/RGCB/PMD/DBT/SMSV/2015.
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