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Statistical representation models for mutation information within genomic data
As DNA sequencing technologies are improving and getting cheaper, genomic data can be utilized for diagnosis of many diseases such as cancer. Human raw genome data is huge in size for computational systems. Therefore, there is a need for a compact and accurate representation of the valuable information in DNA. The occurrence of complex genetic disorders often results from multiple gene mutations. The effect of each mutation is not equal for the development of a disease. Inspired from the fielddoi:10.1186/s12859-019-2868-4 fatcat:hj6lavzgizbz3llaoqz64kkaiq