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brainnetclass  (MathWorks Inc)


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    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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    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
    		  Buy from Supplier
    toolbox brainnetclass v1.0  (MathWorks Inc)
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    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
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    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