INDEPENDENT COMPONENT ANALYSIS FOR INITIAL APPROXIMATION DETERMINATION IN IDENTIFICATION OF ACTIVE MODULES IN BIOLOGICAL GRAPHS

INDEPENDENT COMPONENT ANALYSIS FOR INITIAL APPROXIMATION DETERMINATION IN IDENTIFICATION OF ACTIVE MODULES IN BIOLOGICAL GRAPHS

Subject of Research. The identification of active modules in biological graphs, for example, gene graphs, is one of the important approaches to the interpretation of experimental biological data. One of the approaches for its solution is the application of an algorithm of the joint clustering in net...

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Bibliographic Details
Main Authors: Anastasiia N. Gainullina, Vladimir D. Sukhov, Anatoly A. Shalyto, Alexey A. Sergushichev
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2020-12-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
clustering
correlation
independent component analysis
graphs
gene expression
Online Access:https://ntv.ifmo.ru/file/article/20016.pdf

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