Accepted_test

Loss of information is one of the key problems appearing in transcriptome analysis. The main reason for its occurrence is the influence of many unaccounted factors arising during the conduct and analysis of experimental results, which reduce the overall reliability of the obtained results. In an attempt to get rid of them, as a rule, differentially expressed genes (DEGs) with high false discovery rate (FDR) are cut off. At the same time, such genes can play an important role in controlling observed changes in body functions and obtain high FDR values due to the low degree of expression change. Based on Drosophila melanogaster, a classical object for genetic studies, we would like to present our optimized algorithm for solving this problem. Previously, a single response to various stressors in insects was proved in Drosophila and its neurohormonal mechanism, which is characterized by high conservatism, was described. We chose high temperature as one of the classical ways of stressor influence on the insect organism. Based on the results obtained, we confirm the workability of our proposed method.