Algorithm for selecting reference microRNAs in biological processes classification

O b j e c t i v e s. The algorithm for selection of reference microRNA taking into account their biological features for classification of pathologies. Development of an algorithm for selecting microRNAs with regard to their interconnection for samples classification in the various biological processes. M e t h o d s. Methods of linear algebra, principal component analysis, statistical binary regression models, and model performance metrics were used. R e s u l t s. A new algorithm, MDSeek, has been developed that proposes a selection of reference microRNA for the normalization quantitative polymerase chain reaction results taking into account their coexpression. MDSeek demonstrates higher performance metrics compared to known reference gene selection approaches for the subsequent classification tasks. C o n c l u s i o n. An original MDSeek algorithm for selecting reference microRNAs for normalization results of polymerase chain reaction is suggested. It takes into account changes in microRNA expression when comparing different biological processes. After applying MDSeek to an experimental set of samples, the normalized data were used for classification tasks, and the performance metrics were better than those of other normalization algorithms.