Large-scale cancer genomics data often comes in multi-platform and heterogeneous forms. These datasets impose great challenges in terms of the bioinformatics approach and computational algorithms. Numerous researchers have proposed to utilize this data to overcome several challenges, using classical ML algorithms as either the primary subject or a supporting element for cancer diagnosis and prognosis.
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Description of the dataset
Genomics data covers all data related to DNA on living things. Although in this thesis we will also use other types of data, as such as transcriptomic data (RNA and miRNA), for convenience purposes, all data will be termed as genomics data. Research on human genetics...
