bNets specifications

Information


Unique identifier OMICS_25538
Name bNets
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB, R, Shell (Bash)
License MIT License
Computer skills Advanced
Stability Stable
Maintained Yes

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Versioning


No version available

Maintainer


  • person_outline Shelli Kesler

bNets citations

 (2)
library_books

Probability of Alzheimer's disease in breast cancer survivors based on gray matter structural network efficiency

2017
PMCID: 5700833
PMID: 29201992
DOI: 10.1016/j.dadm.2017.10.002

[…] overy rate , . We ensured that no binarized matrices were disconnected (i.e., had isolated nodes). Matrices were then submitted to graph theoretical analysis using Brain Connectivity Toolbox and our bNets Toolbox (https://github.com/srkesler/bNets.git) implemented in MATLAB v2014b (Mathworks, Inc, Natick, MA). Connectome metrics were calculated as described previously , . Specifically, efficiency […]

library_books

Disrupted brain network functional dynamics and hyper‐correlation of structural and functional connectome topology in patients with breast cancer prior to treatment

2017
PMCID: 5346525
PMID: 28293478
DOI: 10.1002/brb3.643

[…] e resulting z‐score connectivity matrices were thresholded to minimum connection density and then submitted to graph theoretical analysis using our Brain Networks Toolbox (https://github.com/srkesler/bnets.git, RRID:SCR_014788) as well as Brain Connectivity Toolbox (Rubinov & Sporns, ) (RRID:SCR_004841) implemented in MATLAB v2014b. We focused on the clustering coefficient considering our previous […]

bNets institution(s)
Cognitive Neuroimaging Laboratory, University of Texas, Austin, TX, USA

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