• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта

Семинар

12+
Мероприятие завершено

В среду 03.07.2024 в 15:00 пройдет семинар Международной лаборатории статистической и вычислительной геномики.

Дорогие коллеги!


Приглашаем Ваc на доклад Алексея Заикина, который расскажет работы о "Analysis of Medical Data with Synolitic Networks".


Abstract: 

Recently we observe merging Nonlinear Dynamics, Graph Theory and Artificial Intelligence research directions. Representing high-dimensional biological data in the form of a graph and linking features by biological and thermodynamic laws seems to be a very promising approach to deal with overwhelming complexity of biological systems. However, one can utilise this approach only if we have information about how features and attributes are connected biologically. Here we would like to draw attention to alternative methods to represent high dimensional data in the form of the graph if a-priori we do not have established connections. There is an algorithm, first described by Zanin and Bocaletti, able to establish links between parameters/nodes without any knowledge of their interactions using residual distances from linear regression models constructed between every pair of analytes to construct a graph. They termed this approach a “parenclitic” network representation, from the Greek term for “deviation”. On our turn, we have introduced a variation of parenclitic networks, that can be called "synolitic" from the Greek word for “ensemble”. In principle, these networks can be considered an ensemble of classifiers in a graph form and thus are a kind of correlation network where the correlation is in the changes between two classes (e.g., disease and non-disease). These networks have been successfully used to detect age related trajectories in Down’s syndrome and for prediction of survival for severely ill Covid-19 patients. Especially important is that Synolitic graphs enable us to use Graph Neural Networks for analysis of the data.

Speaker: Prof Alexey Zaikin holds a Chair in Systems Medicine joint between Institute for Women’s Health (IfWH) and Applied Mathematics at University College London (UCL).

Ссылка для подключения: https://my.mts-link.ru/j/21476336/852309682