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A collection of 34 ICD-related genes, as delineated in previous studies (10,11), was curated. Protein-protein interaction network was visulized by STRING (https://cn.string-db.org/). These genes were subsequently subjected to a consensus clustering analysis through the utilization of the ‘ConsensusClusterPlus’ package of the R software. The K-means clustering algorithm was employed to discern and delineate robust and stable ICD-related subtypes within the realm of pancreatic cancer.
Copyright and License information: ©2023 Yu et al.
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