METHODS AND SYSTEMS FOR CONVERTING MATRIXES BASED ON SPARSE VECTORS Russian patent published in 2022 - IPC G16B5/10 G06F17/10 

FIELD: biotechnology.

SUBSTANCE: method for studying a biological sample from a patient for associations between genetic mutations and signs of diseases is described, which provides: generation, based on genotype data and phenotype data, for a set of subjects, of a genotype matrix, a quantitative sign matrix and a binary sign matrix; generation, based on the genotype matrix, the quantitative sign matrix and the binary sign matrix, of a data structure in the form of an n-tuple; determination, based on the data structure in the form of an n-tuple, of one or more of the genotype matrix based on sparse vectors, the quantitative sign matrix based on sparse vectors, or the binary sign matrix based on sparse vectors; obtaining the biological sample from the patient; processing of the biological sample by a sequencer to obtain genetic mutations, and processing of one or more requests to one or more of the genotype matrix based on sparse vectors, the quantitative sign matrix based on sparse vectors, or the binary sign matrix based on sparse vectors, while one or more requests contain obtained genetic mutations, and this processing determines the association between obtained genetic mutations and one or more signs of a disease. A system for studying a biological sample from a patient for associations between genetic mutations and signs of diseases is presented.

EFFECT: invention makes it possible to determine the association between obtained genetic mutations and one or more signs of the disease.

18 cl, 26 dwg