Bioinformatics data mining tool using data collected from red blood cells hemolysate

The mathematical model described in this paper is based on a discovery of a phenomenon related to red blood cells. In this phenomenon, the hemolysate of red blood cells reacts with antibodies from the plasma of the same patient. Using proteomics approach to identify those hemolysate antigens and then build a database containing those antigens can help in diagnosis, prognosis, and treatment of disease disorders. In this paper, algorithms and a tool, based on the mathematical model and the database, are described. The tool is tested using hypothetically generated data and it achieved satisfying results as it detected the proposed diseases.