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built-in principle component analysis of raw data function  (MathWorks Inc)


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    MathWorks Inc built-in principle component analysis of raw data function
    Built In Principle Component Analysis Of Raw Data Function, 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/principle+component+analysis+function/pmc07287092__42003_2020_1013_MOESM2_ESM-139-14-17
    Average 90 stars, based on 1 article reviews
    built-in principle component analysis of raw data function - by Bioz Stars, 2026-10
    90/100 stars

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    Analysis:

    Article Title: Electrical and Neurotrophin Enhancement of Neurite Outgrowth within a 3D Collagen Scaffold
    Article Snippet: .. The principle component of the neurite vectors was calculated using the built-in principle component analysis function in MATLAB (pca(X)). ..

    Generated:

    Article Title: Targeted polypharmacology: Discovery of dual inhibitors of tyrosine and phosphoinositide kinases
    Article Snippet: .. A 180x13 table was generated containing the log IC50 values for each of these compounds against these targets and this table was input into Matlab's principle component analysis function. .. 1.13 FLT-3: Inhibitors were tested at two-fold dilutions (concentration range: 50 μM - 0.003 μM) against recombinant FLT-3 kinase domain (Invitrogen) in an assay containing 25 mM HEPES, pH 7.4, 10 mM MgCl2, 2.5mM DTT,10 μM ATP (2.5 μCi of γ32P-ATP), and 3 μg/mL BSA.



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    a Heat-map representation of viral gene expression levels (Et value, color scale bar) of 25 viral genes (x axis, infection phase and gene number) at 37 environmental samples, specifying station number and water depth (y axis), arranged by hierarchical clustering. b <t>Principle</t> <t>component</t> analysis <t>(PCA)</t> of the viral expression values for each environmental sample plotted over the axes of 1st component (PC1) vs. 2nd component (PC2). Samples are marked in a blue “+” or a red “x” according to the hierarchical clustering in the heat-map (a). c Coefficient values of viral genes for PC1 (x axis) and PC2 (y axis). The labels “Early” in blue, “Mid” in green, and “Late” in red represent the association of each viral gene to different phases of infection based on transcriptomic analysis [23, 24]. The gene number is depicted according to Supplementary Table S3
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    a Heat-map representation of viral gene expression levels (Et value, color scale bar) of 25 viral genes (x axis, infection phase and gene number) at 37 environmental samples, specifying station number and water depth (y axis), arranged by hierarchical clustering. b Principle component analysis (PCA) of the viral expression values for each environmental sample plotted over the axes of 1st component (PC1) vs. 2nd component (PC2). Samples are marked in a blue “+” or a red “x” according to the hierarchical clustering in the heat-map (a). c Coefficient values of viral genes for PC1 (x axis) and PC2 (y axis). The labels “Early” in blue, “Mid” in green, and “Late” in red represent the association of each viral gene to different phases of infection based on transcriptomic analysis [23, 24]. The gene number is depicted according to Supplementary Table S3

    Journal: The ISME Journal

    Article Title: Expression profiling of host and virus during a coccolithophore bloom provides insights into the role of viral infection in promoting carbon export

    doi: 10.1038/s41396-017-0004-x

    Figure Lengend Snippet: a Heat-map representation of viral gene expression levels (Et value, color scale bar) of 25 viral genes (x axis, infection phase and gene number) at 37 environmental samples, specifying station number and water depth (y axis), arranged by hierarchical clustering. b Principle component analysis (PCA) of the viral expression values for each environmental sample plotted over the axes of 1st component (PC1) vs. 2nd component (PC2). Samples are marked in a blue “+” or a red “x” according to the hierarchical clustering in the heat-map (a). c Coefficient values of viral genes for PC1 (x axis) and PC2 (y axis). The labels “Early” in blue, “Mid” in green, and “Late” in red represent the association of each viral gene to different phases of infection based on transcriptomic analysis [23, 24]. The gene number is depicted according to Supplementary Table S3

    Article Snippet: Principle component analysis was conducted on normalized Et values using the principle component analysis (PCA) function in MATLAB (MathWorks).

    Techniques: Gene Expression, Infection, Environmental Sampling, Expressing