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Titles
English : Bioinformatics Data Mining Tool Using Data Collected from Red Blood Cells Hemolysate
Abstract Abstract 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. Keywords- Red Blood Cells; Antigens; Proteomics; Data Mining Tool; Bioinformatics
URL
Publication year 2010
Pages 485-489
Availability location IEEE
Availability number 10/8-8843-4244-1-978
Organization Name
    Central Laboratory for Agricultural Expert System (CLAES)
City القاهرة
serial title Bioinformatics Data Mining Tool Using Data Collected from Red Blood Cells
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Author(s) from ARC
External authors (outside ARC)
    تركى سلطان torkyibrahimsultan@hotmail.com جامعة حلوان
Agris Categories Documentation and information
Proposed Agrovoc computer technology;
Publication Type Conference/Workshop

 
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