What Types of Data are Used for Clustering in Cancer Research?
Several types of data are used for clustering in cancer research:
Genomic Data: Includes DNA sequences, mutations, and copy number variations. Transcriptomic Data: Includes RNA sequences that provide information on gene expression levels. Proteomic Data: Includes protein expression levels and modifications. Metabolomic Data: Includes small molecule metabolites present in biological samples. Clinical Data: Includes patient demographics, treatment histories, and outcomes.