Application Of Genomic Signal Processing To Detect Cancer Cells

In the field of signal processing, a new area of research has been introduced namely genomic signal processing (GSP). GSP processes genes, proteins, and DNA sequences using various hidden signals. As some genetic abnormalities turn into cancer diseases, proper understanding, and analysis of genes and proteins may lead to a new horizon in cancer genomic study. In genomic signal processing, identifying and classifying the diseased gene is a great challenge to researchers. Hence in the present paper, the crucial job of gene identification and classification is attempted for cancer detection. Our project is implemented in MATLAB R2019a using the bioinformatics toolbox. Where the DNA sequences obtained from the NCBI are processed and numerically mapped before extracting the exons using the period-3 property which is done using an anti-notch filter and STFT. Digital filters are used for noise reduction and increased accuracy.