Prognotic Cutaneous Melanoma Research Abstract

1. Background:- Prognosis is the prediction of likely trail of the disease. It gives us perception on the natural history of a disease, apt cure strategies, patient management, decision making and most importantly information about the risk of death. Any clinical research has the aim to find the prognostic factors, which correlates genetic and clinical variables to the outcomes. Cutaneous melanoma has 5% share in all types of skin cancers but unfortunately, it accounts for the maximum number of death in skin cancer patients. Therefore it becomes necessary to prognostic cutaneous melanoma. Contemporary data has changed the aspects of melanoma prognosis. Some details are evolved as a result of large-scale data analysis. The primary outcome of interest for the study is overall survival of the patient. If traditional methods for …show more content…
Decoding the hidden patterns in gene expression data makes it easier to understand functional genomics. The intricacy of biological networks and a huge number of genes present increases the complexity of interpreting mass data. It consists of millions of variables resulting in imprecision, ambiguity and noise. Very important step to address these challenges is to apply clustering techniques. Clustering is essential in data mining to find out interesting patterns underlying mass data. The clustering of gene expression data has been useful in knowing the natural structure inherent in gene expression data, understanding gene functions, cellular processes and subtypes of cells, mining useful information from noisy data and understanding gene regulation. The other benefit of clustering gene expression data is the identification of homology, which is very important in prognosis. In our study, the aim is to use clustering technique to find more statistically significant models in the survival analysis of cutaneous