Current State of Methods, Models, and Information Technologies of Genes Expression Profiling Extraction: A Review

Abstract

An application of both the DNA microchips tests or RNA molecules sequencing experiments allows us to form the high-dimensional matrix of genes expressions, values of which are proportional to the num­ ber of the appropriate type of genes that matched the respectively inves­ tigated sample. In the general instance, the number of genes can achieve tens of thousands of ones. This fact calls the necessity to extract the genes which are able to recognize the examined samples with a high resolvable level. In this review, we analyze the current state of works focused on genes expression profiling extraction based on the application of both single methods and hybrid models. The conducted analysis has allowed us to allocate the advantages and shortcomings of the existing techniques and form the tasks which should be solved in this subject area to improve the objectivity of gene expression profiling extraction considering the type of the investigated samples.