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
City القاهرة
serial title Bioinformatics Data Mining Tool Using Data Collected from Red Blood Cells
Web Page
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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