Objective clustering inductive technology of gene expression profiles based on sota clustering algorithm

• Дата: 2017
• Автори: Babichev, S.A., Gozhyj, A., Kornelyuk, A.I., Lytvynenko, V.I.
• Формат: Стаття
• Мова: English
• Опубліковано: Інститут молекулярної біології і генетики НАН України 2017
• Назва видання: Вiopolymers and Cell
• Теми: Bioinformatics
• Онлайн доступ: http://dspace.nbuv.gov.ua/handle/123456789/153098
• Назва журналу: Digital Library of Periodicals of National Academy of Sciences of Ukraine
• Цитувати: Objective clustering inductive technology of gene expression profiles based on sota clustering algorithm / S.A. Babichev, A. Gozhyj, A.I. Kornelyuk, V.I. Lytvynenko // Вiopolymers and Cell. — 2017. — Т. 33, № 5. — С. 379-392. — Бібліогр.: 19 назв. — англ.

Aim. Development of an inductive technology of objective clustering of gene expression profiles based on a self-organizing SOTA clustering algorithm. Methods. Inductive methods of complex system analysis were used to implement the inductive technology of objective clustering of gene expression profiles. The optimal parameters of clustering algorithm were estimated using internal clustering quality criteria, external criteria and complex balance criteria. Results. Here we present the architecture of the inductive technology of objective clustering based on SOTA clustering algorithm and step-by-step procedure of its implementation. Charts of the internal, external and complex balance criteria versus the algorithm parameters were obtained during simulation. This allowed us to determine the optimal parameters of the algorithm. Conclusion. We have shown a high efficiency of the proposed technology. In case of analysis of gene expression profiles, this approach allows to implement a step-by-step cluster-bicluster technology of data grouping at an early stage of gene regulatory network reconstruction.