Statistical Techniques for Breast Cancer Classification: A Review
AUTHORS
Aashna Vijay,The Northcap University, Sector-23A, Gurgaon, Haryana
Geetika Munja,
ABSTRACT
Microarrays gene expressions have played a vital role in the prognosis of genetic diseases. DNA microarrays are used to measure expressions of several genes simultaneously. They are not only used to determine variations in gene sequences but also used to identify the drug treatment best suited to the various genetic diseases like cancer. This paper contains the introduction on DNA microarrays and various types of breast cancer. It also explains various statistical techniques which are used in Survival Analysis (SA). The SA is used to study the estimated time duration between one or more events happen. When information is incomplete about survival time then it is called censored. These statistical methods can incorporate both censored as well as uncensored data to analyze the survival time of patients. Kaplan- Meier graph, Log rank test and Cox regression analysis are few statistical tools to study survival analysis.
KEYWORDS
Microarrays gene expressions, DNA Microarrays, Kaplan-Meier graph, Cox regression analysis, etc.
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