Parallel rules based classifier using DNA strand displacement for multiple molecular markers detection

The detection of molecular markers such as micro ribonucleic acid (miRNA) expression levels in the cells are essential for diagnosis of a disease, especially cancer. Recently, a huge amount of molecular markers on cell is being extracted by single molecular detection method, as results, excessively detection process and time is required. Meanwhile DNA computing has capabilities to interact with biological nucleic acids and massively parallel processing, we propose parallel rule-based classifier using DNA strand displacement reaction as method of detecting multiple molecular markers. Two DNA reaction of parallel sensing and encoding system of the IF-THEN rules have been developed in our proposed model. In this paper, we compared between the proposed method and the AND gate method for the classification result. Moreover, based on the simulation results show that our method is possible as an alternative solution for the programmable fast big molecular markers detection and diagnosis.