METHOD OF JOINT CLUSTERING IN NETWORK AND CORRELATION SPACES

METHOD OF JOINT CLUSTERING IN NETWORK AND CORRELATION SPACES

Subject of Research. The joint clustering method in network and correlation context is designed to identify active modules in metabolic graphs based on transcriptomic data represented by a large number of samples. The active modules obtained by this method describe the dynamic metabolic regulation i...

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Bibliographic Details
Main Authors: Anastasiia N. Gainullina, Maxim Artyomov, 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
graphs
metabolic networks
gene expression
Online Access:https://ntv.ifmo.ru/file/article/20004.pdf

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