Integrating Multidimensional Data for Clustering Analysis With Applications to Cancer Patient Data
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DOI: 10.1080/01621459.2020.1730853
Abstract: Abstract Advances in high-throughput genomic technologies coupled with large-scale studies including The Cancer Genome Atlas (TCGA) project have generated rich resources of diverse types of omics data to better understand cancer etiology and treatment responses.… read more here.
Keywords: data types; integrating multidimensional; omics data; cancer ... See more keywords