DETECTION OF CANCER BIOMARKER

The Advancement of Information technology has grown faster and faster. The data acquired and stored as a digitized form exceeds a lot to a peak apart from the imagination. It challenges the research analysts for knowledge discovery. New methods or techniques are necessary to extract useful information from the raw data collected in repositories. Bioinformatics is the area where we analyze the biological information about the living organisms which helps in major areas like disease prediction. Many people are affected by a crucial disease i.e., cancer. Biomarker the indicator of disease plays a vital role in diagnosing of the presence of disease. The presence of cancer disease can be detected using the measurable indicator called cancer biomarker. The recent research focus on analyzing the gene data and the high dimensional data stored as text in repositories. The paper concentrates on the second domain to retrieve useful information for the detection of presence of disease. The useful data from the repositories are mined using powerful tool is developed. The potential biomarker can be extracted for cancer detection. The datasets are taken from the PubMed and the tool extracts useful information to detect the presence of cancer disease. Now-a-days the number of patients affected by the disease like cancer increased. The death rate increased particularly for the patients affected by prostrate and breast cancer. The paper takes the input of prostate and breast cancer data from the repository. The proposed system gives the promising and effective result