Employ machine learning methods in combination with bioinformatic analysis of the gene structure of polygenic diseases to develop effective methods for early diagnosis and prognosis of their developmentaper

Prokofiev, V. F.; Shevchenko, A. V.; Коненков, В. И.

doi:10.1109/csgb56354.2022.9865410

2022 Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine (CSGB) 2022

DOI: 10.1109/csgb56354.2022.9865410

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Employ machine learning methods in combination with bioinformatic analysis of the gene structure of polygenic diseases to develop effective methods for early diagnosis and prognosis of their developmentaper

V. F. Prokofiev

A. V. Shevchenko

В. И. Коненков

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Employ machine learning methods in combination with bioinformatic analysis of the gene structure of polygenic diseases to develop effective methods for early diagnosis and prognosis of their developmentaper

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