brainnetclass Search Results


dparsf v5.1  (MathWorks Inc)
90
MathWorks Inc dparsf v5.1
Dparsf V5.1, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dparsf v5.1/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
dparsf v5.1 - by Bioz Stars, 2026-05
90/100 stars
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brainnetclass  (MathWorks Inc)
90
MathWorks Inc brainnetclass
Brainnetclass, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/brainnetclass/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
brainnetclass - by Bioz Stars, 2026-05
90/100 stars
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toolbox brainnetclass v1.0  (MathWorks Inc)
90
MathWorks Inc toolbox brainnetclass v1.0
Workflow of <t>BrainNetClass</t> toolbox and its role in a general setting. BrainNetClass receives inputs from many other rs‐fMRI preprocessing software, performs network construction, and extracts network features for classification. After performance evaluation, results are saved for further interpretation and they can be visualized by other toolboxes. It also has flexibility if users just want to save the constructed networks for another purpose or they have predefined brain networks derived from another toolbox
Toolbox Brainnetclass V1.0, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/toolbox brainnetclass v1.0/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
toolbox brainnetclass v1.0 - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

Image Search Results


Workflow of BrainNetClass toolbox and its role in a general setting. BrainNetClass receives inputs from many other rs‐fMRI preprocessing software, performs network construction, and extracts network features for classification. After performance evaluation, results are saved for further interpretation and they can be visualized by other toolboxes. It also has flexibility if users just want to save the constructed networks for another purpose or they have predefined brain networks derived from another toolbox

Journal: Human Brain Mapping

Article Title: A toolbox for brain network construction and classification (BrainNetClass)

doi: 10.1002/hbm.24979

Figure Lengend Snippet: Workflow of BrainNetClass toolbox and its role in a general setting. BrainNetClass receives inputs from many other rs‐fMRI preprocessing software, performs network construction, and extracts network features for classification. After performance evaluation, results are saved for further interpretation and they can be visualized by other toolboxes. It also has flexibility if users just want to save the constructed networks for another purpose or they have predefined brain networks derived from another toolbox

Article Snippet: In this article, we presented an easy‐to‐use Matlab toolbox, BrainNetClass v1.0, for brain network construction and network‐based classification.

Techniques: Software, Construct, Derivative Assay

Step‐by‐step setup in BrainNetClass and its result report, including (a) Specifying inputs and output, (b) selecting network construction method as well as feature extraction/selection and validation methods, (c) model evaluation, and (d) log file generation

Journal: Human Brain Mapping

Article Title: A toolbox for brain network construction and classification (BrainNetClass)

doi: 10.1002/hbm.24979

Figure Lengend Snippet: Step‐by‐step setup in BrainNetClass and its result report, including (a) Specifying inputs and output, (b) selecting network construction method as well as feature extraction/selection and validation methods, (c) model evaluation, and (d) log file generation

Article Snippet: In this article, we presented an easy‐to‐use Matlab toolbox, BrainNetClass v1.0, for brain network construction and network‐based classification.

Techniques: Extraction, Selection, Biomarker Discovery

Comparison of the main features of the available software packages

Journal: Human Brain Mapping

Article Title: A toolbox for brain network construction and classification (BrainNetClass)

doi: 10.1002/hbm.24979

Figure Lengend Snippet: Comparison of the main features of the available software packages

Article Snippet: In this article, we presented an easy‐to‐use Matlab toolbox, BrainNetClass v1.0, for brain network construction and network‐based classification.

Techniques: Comparison, Software