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implementation of the fastica algorithm  (MathWorks Inc)


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    MathWorks Inc implementation of the fastica algorithm
    Implementation Of The Fastica Algorithm, 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/product/fastica+algorithm/pmc10818430-169-10-6
    Average 90 stars, based on 1 article reviews
    implementation of the fastica algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Transformation Assay:

    Article Title: Influence of land use changes on the remaining available aquifer storage (RAAS): A case study of the Taoerhe alluvial-proluvial fan.
    Article Snippet: ⁎ Corresponding author at: State Key Laboratory of Hydro E-mail address: lcshu@hhu.edu.cn (L. Shu). http://dx.doi.org/10.1016/j.scitotenv.2022.157848 Received 13 April 2022; Received in revised form 9 J Available online 4 August 2022 0048-9697/© 2022 Elsevier B.V. All rights reserved.. • Connections between land use change and the remaining available aquifer storage

    Article Title: Viewer Engagement in Response to Mixed and Uniform Emotional Content in Marketing Videos—An Electroencephalographic Study
    Article Snippet: Spatial filtering was conducted with a MATLAB implementation of the FastICA [ ] algorithm, one of the algorithms used to solve an ICA (independent component analysis) model.

    Article Title: Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification
    Article Snippet: Independent component analysis (ICA) is a proven computational technique for EEG artifact detection [ ] and was applied using the FastICA (v.2.5) package for MATLAB [ ].

    Article Title: Removing ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts
    Article Snippet: Therefore, the version of FastICA used in this study [FastICA for Matlab 2.5 ( )] and introduced by strives to obtain an independence-maximizing transformation by seeking one that minimizes the mutual information of the components.

    Article Title: Determining the optimal number of independent components for reproducible transcriptomic data analysis
    Article Snippet: Computational time for ICA decomposition of different orders from 2 to 100 with step 5, using compiled MATLAB fastICA implementation and stability analysis by re-computing fastICA from 100 various initial conditions.

    Article Title: Determining the optimal number of independent components for reproducible transcriptomic data analysis
    Article Snippet: We found that the MATLAB implementations of fastICA performs superior to other implementations (such as those provided in R [ ]).

    Derivative Assay:

    Article Title: Influence of land use changes on the remaining available aquifer storage (RAAS): A case study of the Taoerhe alluvial-proluvial fan.
    Article Snippet: ⁎ Corresponding author at: State Key Laboratory of Hydro E-mail address: lcshu@hhu.edu.cn (L. Shu). http://dx.doi.org/10.1016/j.scitotenv.2022.157848 Received 13 April 2022; Received in revised form 9 J Available online 4 August 2022 0048-9697/© 2022 Elsevier B.V. All rights reserved.. • Connections between land use change and the remaining available aquifer storage

    Article Title: Viewer Engagement in Response to Mixed and Uniform Emotional Content in Marketing Videos—An Electroencephalographic Study
    Article Snippet: Spatial filtering was conducted with a MATLAB implementation of the FastICA [ ] algorithm, one of the algorithms used to solve an ICA (independent component analysis) model.

    Article Title: Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification
    Article Snippet: Independent component analysis (ICA) is a proven computational technique for EEG artifact detection [ ] and was applied using the FastICA (v.2.5) package for MATLAB [ ].

    Article Title: Removing ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts
    Article Snippet: Therefore, the version of FastICA used in this study [FastICA for Matlab 2.5 ( )] and introduced by strives to obtain an independence-maximizing transformation by seeking one that minimizes the mutual information of the components.

    Article Title: Determining the optimal number of independent components for reproducible transcriptomic data analysis
    Article Snippet: Computational time for ICA decomposition of different orders from 2 to 100 with step 5, using compiled MATLAB fastICA implementation and stability analysis by re-computing fastICA from 100 various initial conditions.

    Article Title: Determining the optimal number of independent components for reproducible transcriptomic data analysis
    Article Snippet: We found that the MATLAB implementations of fastICA performs superior to other implementations (such as those provided in R [ ]).

    Expressing:

    Article Title: Influence of land use changes on the remaining available aquifer storage (RAAS): A case study of the Taoerhe alluvial-proluvial fan.
    Article Snippet: ⁎ Corresponding author at: State Key Laboratory of Hydro E-mail address: lcshu@hhu.edu.cn (L. Shu). http://dx.doi.org/10.1016/j.scitotenv.2022.157848 Received 13 April 2022; Received in revised form 9 J Available online 4 August 2022 0048-9697/© 2022 Elsevier B.V. All rights reserved.. • Connections between land use change and the remaining available aquifer storage

    Article Title: Viewer Engagement in Response to Mixed and Uniform Emotional Content in Marketing Videos—An Electroencephalographic Study
    Article Snippet: Spatial filtering was conducted with a MATLAB implementation of the FastICA [ ] algorithm, one of the algorithms used to solve an ICA (independent component analysis) model.

    Article Title: Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification
    Article Snippet: Independent component analysis (ICA) is a proven computational technique for EEG artifact detection [ ] and was applied using the FastICA (v.2.5) package for MATLAB [ ].

    Article Title: Removing ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts
    Article Snippet: Therefore, the version of FastICA used in this study [FastICA for Matlab 2.5 ( )] and introduced by strives to obtain an independence-maximizing transformation by seeking one that minimizes the mutual information of the components.

    Article Title: Determining the optimal number of independent components for reproducible transcriptomic data analysis
    Article Snippet: Computational time for ICA decomposition of different orders from 2 to 100 with step 5, using compiled MATLAB fastICA implementation and stability analysis by re-computing fastICA from 100 various initial conditions.

    Article Title: Determining the optimal number of independent components for reproducible transcriptomic data analysis
    Article Snippet: We found that the MATLAB implementations of fastICA performs superior to other implementations (such as those provided in R [ ]).

    Gene Expression:

    Article Title: Influence of land use changes on the remaining available aquifer storage (RAAS): A case study of the Taoerhe alluvial-proluvial fan.
    Article Snippet: ⁎ Corresponding author at: State Key Laboratory of Hydro E-mail address: lcshu@hhu.edu.cn (L. Shu). http://dx.doi.org/10.1016/j.scitotenv.2022.157848 Received 13 April 2022; Received in revised form 9 J Available online 4 August 2022 0048-9697/© 2022 Elsevier B.V. All rights reserved.. • Connections between land use change and the remaining available aquifer storage

    Article Title: Viewer Engagement in Response to Mixed and Uniform Emotional Content in Marketing Videos—An Electroencephalographic Study
    Article Snippet: Spatial filtering was conducted with a MATLAB implementation of the FastICA [ ] algorithm, one of the algorithms used to solve an ICA (independent component analysis) model.

    Article Title: Evaluating Performance of EEG Data-Driven Machine Learning for Traumatic Brain Injury Classification
    Article Snippet: Independent component analysis (ICA) is a proven computational technique for EEG artifact detection [ ] and was applied using the FastICA (v.2.5) package for MATLAB [ ].

    Article Title: Removing ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts
    Article Snippet: Therefore, the version of FastICA used in this study [FastICA for Matlab 2.5 ( )] and introduced by strives to obtain an independence-maximizing transformation by seeking one that minimizes the mutual information of the components.

    Article Title: Determining the optimal number of independent components for reproducible transcriptomic data analysis
    Article Snippet: Computational time for ICA decomposition of different orders from 2 to 100 with step 5, using compiled MATLAB fastICA implementation and stability analysis by re-computing fastICA from 100 various initial conditions.

    Article Title: Determining the optimal number of independent components for reproducible transcriptomic data analysis
    Article Snippet: We found that the MATLAB implementations of fastICA performs superior to other implementations (such as those provided in R [ ]).



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