Department of Biochemistry, University of Mansoura, Egypt
Perspective
Covid-19 Diagnosis Using DNA Sequences of a Hybrid Method Based On Machine Learning To Identify Biomarkers
Author(s): Ajay Yadav*
Even if some people don't have any chronic illnesses or don't fall within the
Covid-19 risk age range, they are more susceptible to the coronavirus. Some
specialists believe that the patient's immune system is to blame, while others
believe that the patient's genetic background may be a factor. To ascertain the
connection between Covid-19 and genes, it is crucial to identify corona from
DNA signals as early as feasible. As a result, it will be possible to determine how
changes in the corona disease-related genes affect the disease's severe course.
This study proposes a revolutionary intelligent computer method for the first
time to distinguish coronavirus from nucleotide signals. The suggested approach
offers a multi-layered Singular Value Decomposition, Discrete Wavelet Transform
statistical feature extractor, and Entropy-based mapping approach are combi.. View More»
DOI: 2572-5475-09.01-124
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