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Optimized Molecular Interaction Networks for the Study of Skeletal Muscle
Author(s) -
Stephen Morgan,
Apostolos Malatras,
Stéphanie Duguez,
William Duddy
Publication year - 2021
Publication title -
journal of neuromuscular diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.366
H-Index - 23
eISSN - 2214-3602
pISSN - 2214-3599
DOI - 10.3233/jnd-210680
Subject(s) - skeletal muscle , computational biology , gene ontology , functional genomics , gene , association (psychology) , representation (politics) , gene expression , computer science , bioinformatics , biology , artificial intelligence , genomics , genetics , psychology , genome , anatomy , politics , political science , law , psychotherapist
Molecular interaction networks (MINs) aim to capture the complex relationships between interacting molecules within a biological system. MINs can be constructed from existing knowledge of molecular functional associations, such as protein-protein binding interactions (PPI) or gene co-expression, and these different sources may be combined into a single MIN. A given MIN may be more or less optimal in its representation of the important functional relationships of molecules in a tissue.

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