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matlab function pca.m  (MathWorks Inc)


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    MathWorks Inc matlab function pca.m
    Matlab Function Pca.M, 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/pca%2Em+function/pm40442152-428-19-20
    Average 90 stars, based on 1 article reviews
    matlab function pca.m - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Dynamic Functional Connectivity Between Amygdala and Cognitive Control Network Predicts Delay Discounting in Older Adolescents
    Article Snippet: A PCA was performed for each amygdala's dFC in MATLAB (2018b).

    Article Title: Sinking particles exporting diatoms and hacrobia predict the magnitude of oceanic POC flux.
    Article Snippet: The 165 singular value decomposition (SVD) approach was used to construct the PCA (“svd” function in Matlab) 166 and photosynthetic phytoplankton sequences were grouped to the genus-level for this analysis (N = 132).

    Article Title: Impulsive-compulsive behaviours and striatal neuroactivity in mildly parkinsonian rats under D2/3 agonist and L-DOPA treatment.
    Article Snippet: The entire material (all rostrocaudal levels, animals and groups; n(independent animals)=69, n(sections) = 411) was used to perform one PCA (Matlab function pca.m).

    Article Title: Informative Wavelength Selection for Evaluation of Bacterial Spoilage in Raw Salmon ( Salmo salar ) Fillet Using FT-NIR Spectroscopy.
    Article Snippet: Additionally, PCA was performed with MATLAB software to identify differences between both the spoiled and fresh sample groups.

    Article Title: Geometric phase predicts locomotion performance in undulating living systems across scales
    Article Snippet: The calculation is based on the Matlab function ‘pca’.

    Article Title: Chirp sensitivity and vowel coding in the inferior colliculus.
    Article Snippet: To extract prominent features of chirp sensitivity from the population of RVFs, as in Mitchell et al. (2023), principal component analysis (PCA) was conducted using the Matlab function “PCA”.

    Article Title: Binocular processing facilitates escape behavior through multiple pathways to the superior colliculus.
    Article Snippet: PCA was performed using the MATLAB ‘pca’ function.

    Activity Assay:

    Article Title: Graded remapping of prefrontal representations preserves a cumulative record of distinct events within an environment
    Article Snippet: .. We then ran principal components analysis (PCA) on the normalized activity matrix using the MATLAB function 'pca'. ..



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