Analysing Severity of Breast Cancer using RNA Sequencing Data

Breast Cancer is one of the most extensively researched cancers of the human body. This is has led to the creation and development of innumerable methods and techniques to control the growth and symptoms of the cancer way before it could cause any severe damage to other parts of the body. Yet, breast cancer remains one of the most common cancers and also the leading cause of death in women. This has encouraged us to perform our research in this field. While research does exist on the genetic aspect of breast cancer, it is insufficient to derive any conclusive decisions and results from these papers. Fundamentally any research in this domain is limited to either personal data of patients or genetic data exclusively. This paper aims to provide a unique insight by using both personal and genetic data. The researchers use a variety of innovative data wrangling techniques so as to accentuate the strengths of data. Along with this various statistical and machine learning techniques are used to rank the important genes in the dataset. These genes are selected and used to analyze their effect on patients using various machine learning algorithms. This data can be used to aid the healthcare industry in the detection, treatment and prevention of cancer.