Network visualization and analysis of gene expression data using BioLayout Express3D
By Athanasios Theocharidis, Stijn van Dongen, Anton J. Enright, Tom C. Freeman. Nature Protocols, 2009
450 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/67fe220e8ae58362448a4650bb51b10a5dabeb45
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Cei Abreu-Goodger
- Stijn van Dongen
- Robert E. W. Hancock
- Aram Galstyan
- Tom C. Freeman
- Raymond Lo
- Fiona S. L. Brinkman
- Geoffrey L. Winsor
Citations in the corpus
- Embedding Networks with Edge Attributes (2018, background): “Similarly, in biology, interactions of proteins can be modeled as a network and the connections in the network can be used to identify genes [28].”
- Using MCL to extract clusters from networks. (2012, methodology): “Regarding Protocol 2, BioLayout Express3D is a comprehensive tool for analyzing expression data [10,15], integrating large scale data analysis and network visualisation with the ability to use mcl.”
- InnateDB: systems biology of innate immunity and beyond—recent updates and continuing curation (2012, background): “2 (23), an application designed for the visualization, clustering and analysis of large networks in 2D and 3D space.”
- Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review (2012, methodology): “…Chung et al., 2005 AVIS http://actin.pharm.mssm.edu/AVIS2 Berger et al., 2007 BioLayout Express 3D http://www.biolayout.org Freeman et al., 2007; Theocharidis et al., 2009 BiologicalNetworks http://biologicalnetworks.net Kozhenkov & Baitaluk, 2012 BioTapestry http://www.biotapestry.org…”
- An expression atlas of human primary cells: inference of gene function from coexpression networks (2013, methodology): “The method used in this study employed the network tool BioLayout Express which was specifically developed to allow the visualisation and analysis of coexpression relationships in large datasets [26,27].”