Tag "Linear classifiers"

On 27 February 2026, Anton P. Zhiyanov, a research fellow at the Laboratory of Molecular Physiology, Faculty of Biology and Biotechnology, HSE University, successfully defended his dissertation “Methods for Evaluating the Quality of Linear Classifiers for microRNA Sequence Analysis” before the HSE University Dissertation Council in Computer Science. The thesis develops an axiomatic framework for comparing classification metrics, proposes new statistical tools for verifying linear classifiers, and applies them to the bioinformatics problem of microRNA isoform prediction. By its decision of 26 March 2026, the Dissertation Council conferred the sought-after degree on Anton.

Research by a collaborative team from HSE University's Faculty of Biology and Biotechnology, Moscow State University, and the Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences has been officially published in the international journal Stat. The study addresses a critical challenge in biomedicine: determining whether machine learning algorithms identify genuine biological patterns or merely overfit to random noise in data.