Cancer subtyping assessment by multi-omics data integration methods
Debarati Basu, Makaut (WB) Cancer is distinguished by heterogeneous morphological, phenotypic, and genomic profiles. For patients to undergo proper treatment identification of cancer subtypes plays an important role. Meta-data is being produced in the fields of genomics, epigenomics, and transcriptomics which will help to identify underlying root causes of cancer on a gene level. It […]