ArticleEvolutionary bioinformatics online2013
SBEToolbox: A Matlab Toolbox for Biological Network Analysis.
Article in Evolutionary bioinformatics online, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed.
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- A big data pipeline: Identifying dynamic gene regulatory networks from time-course Gene Expression Omnibus data with applications to influenza infection.Statistical methods in medical research · 2018Article
- A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration.BMC bioinformatics · 2018Article
- Exploiting aberrant mRNA expression in autism for gene discovery and diagnosis.Human genetics · 2016Article
- Graph theory and stability analysis of protein complex interaction networks.IET systems biology · 2016Article
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- A Rich-Club Organization in Brain Ischemia Protein Interaction Network.Scientific reports · 2015Article
- Article
- Increased segregation of brain networks in focal epilepsy: An fMRI graph theory finding.NeuroImage. Clinical · 2015Article
- Transcription factor and microRNA-regulated network motifs for cancer and signal transduction networks.BMC systems biology · 2015Article
- Population-level expression variability of mitochondrial DNA-encoded genes in humans.European journal of human genetics : EJHG · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present SBEToolbox (Systems Biology and Evolution Toolbox), an open-source Matlab toolbox for biological network analysis. It takes a network file as input, calculates a variety of centralities and topological metrics, clusters nodes into modules, and displays the network using different graph layout algorithms. Straightforward implementation and the inclusion of high-level functions allow the functionality to be easily extended or tailored through developing custom plugins. SBEGUI, a menu-driven graphical user interface (GUI) of SBEToolbox, enables easy access to various network and graph algorithms for programmers and non-programmers alike. All source code and sample data are freely available at https://github.com/biocoder/SBEToolbox/releases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.