Review



principle component analysis (pca)  (OriginLab corp)


Bioz Manufacturer Symbol OriginLab corp manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    OriginLab corp principle component analysis (pca)
    Principle Component Analysis (Pca), supplied by OriginLab corp, 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+(pca)/principal+component+analysis++pca+/pmc11043945-165-11-22
    Average 90 stars, based on 1 article reviews
    principle component analysis (pca) - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    other:

    Article Title: Ecological and public health risk assessment of potentially toxic elements in the surface sediments of the Pasur river estuary, Bangladesh
    Article Snippet: The possible source and distribution of PTEs were analyzed by the principle component analysis (PCA) and cluster analysis using Origin (Pro), 2023 (Origin Lab Corporation, Northampton, MA, USA).

    Article Title: Technological Feasibility of Couscous-Algae-Supplemented Formulae: Process Description, Nutritional Properties and In Vitro Digestibility
    Article Snippet: Principle component analysis (PCA) (OriginLab Corporation, Northampton, MA, USA) was carried out to achieve a better understanding of the relationship between the different sensory attributes.



    Similar Products

    multivariate principle component analysis pca  (Minitab Inc)
    86
    Minitab Inc multivariate principle component analysis pca
    Multivariate Principle Component Analysis Pca, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/principle+component+analysis+(pca)/analysis+component+principal/10__1016_slash_j__jafr__2025__102526-111-2-10
    Average 86 stars, based on 1 article reviews
    multivariate principle component analysis pca - by Bioz Stars, 2026-10
    86/100 stars
    		  Buy from Supplier
    principle components analysis (pca)  (Qiagen)
    90
    Qiagen principle components analysis (pca)
    Principle Components Analysis (Pca), supplied by Qiagen, 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+(pca)/principle+components+analysis++pca+/pm39093886-143-0-17
    Average 90 stars, based on 1 article reviews
    principle components analysis (pca) - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    principle component analysis (pca)  (OriginLab corp)
    90
    OriginLab corp principle component analysis (pca)
    Principle Component Analysis (Pca), supplied by OriginLab corp, 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+(pca)/principal+component+analysis++pca+/pmc11043945-165-11-22
    Average 90 stars, based on 1 article reviews
    principle component analysis (pca) - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    pearson-type principle component analysis (pca)  (Addinsoft inc)
    90
    Addinsoft inc pearson-type principle component analysis (pca)
    Pearson Type Principle Component Analysis (Pca), supplied by Addinsoft 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+(pca)/pearson+type+principle+component+analysis++pca+/pm37812154-120-2-34
    Average 90 stars, based on 1 article reviews
    pearson-type principle component analysis (pca) - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    principle component analysis (pca)  (Minitab Inc)
    90
    Minitab Inc principle component analysis (pca)
    Principle Component Analysis (Pca), supplied by Minitab 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+(pca)/principal+component+analysis++pca+/pmc10540773-137-0-8
    Average 90 stars, based on 1 article reviews
    principle component analysis (pca) - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    principle component analysis (pca) multivariate exploration technique  (Minitab Inc)
    90
    Minitab Inc principle component analysis (pca) multivariate exploration technique
    Principle Component Analysis (Pca) Multivariate Exploration Technique, supplied by Minitab 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+(pca)/principle+component+analysis/10__31788_slash_rjc__2023__1628238-10-6-18
    Average 90 stars, based on 1 article reviews
    principle component analysis (pca) multivariate exploration technique - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    principle component analysis (pca)  (RStudio)
    90
    RStudio principle component analysis (pca)
    <t>PCA</t> and ROC reveals the trend of matrix metalloproteinases (MMPs) among multisystem inflammatory syndrome in children (MIS-C), COVID-19 and other groups. (A) <t>Principal</t> <t>component</t> analysis (PCA) was performed to show the distribution of data from the combination of five groups: MIS-C (brown), acute COVID-19 (blue), children with other diseases (yellow color), convalescent COVID-19 (green) and control (red) children depicted using normalized data from plasma levels of MMP-8, 12 and 13. (B) CombiROC analysis was performed to determine the role of MMP 8, 12 and 13 in distinguishing between MIS-C vs. acute COVID-19, MIS-C vs. other diseases, MIS-C vs. convalescent and MIS-C vs. Controls.
    Principle Component Analysis (Pca), supplied by RStudio, 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+(pca)/principal+component+analysis++pca+/pmc09760695-96-0-32
    Average 90 stars, based on 1 article reviews
    principle component analysis (pca) - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    principle components analysis (pca) of model residuals with random parallel analysis  (RStudio)
    90
    RStudio principle components analysis (pca) of model residuals with random parallel analysis
    <t>PCA</t> and ROC reveals the trend of matrix metalloproteinases (MMPs) among multisystem inflammatory syndrome in children (MIS-C), COVID-19 and other groups. (A) <t>Principal</t> <t>component</t> analysis (PCA) was performed to show the distribution of data from the combination of five groups: MIS-C (brown), acute COVID-19 (blue), children with other diseases (yellow color), convalescent COVID-19 (green) and control (red) children depicted using normalized data from plasma levels of MMP-8, 12 and 13. (B) CombiROC analysis was performed to determine the role of MMP 8, 12 and 13 in distinguishing between MIS-C vs. acute COVID-19, MIS-C vs. other diseases, MIS-C vs. convalescent and MIS-C vs. Controls.
    Principle Components Analysis (Pca) Of Model Residuals With Random Parallel Analysis, supplied by RStudio, 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+(pca)/principal+component+analysis++pca+/pmc09730346__bmjopen___2022___064387__draft_revisions-149-10-17
    Average 90 stars, based on 1 article reviews
    principle components analysis (pca) of model residuals with random parallel analysis - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    PCA and ROC reveals the trend of matrix metalloproteinases (MMPs) among multisystem inflammatory syndrome in children (MIS-C), COVID-19 and other groups. (A) Principal component analysis (PCA) was performed to show the distribution of data from the combination of five groups: MIS-C (brown), acute COVID-19 (blue), children with other diseases (yellow color), convalescent COVID-19 (green) and control (red) children depicted using normalized data from plasma levels of MMP-8, 12 and 13. (B) CombiROC analysis was performed to determine the role of MMP 8, 12 and 13 in distinguishing between MIS-C vs. acute COVID-19, MIS-C vs. other diseases, MIS-C vs. convalescent and MIS-C vs. Controls.

    Journal: Frontiers in Medicine

    Article Title: Role of matrix metalloproteinases in multi-system inflammatory syndrome and acute COVID-19 in children

    doi: 10.3389/fmed.2022.1050804

    Figure Lengend Snippet: PCA and ROC reveals the trend of matrix metalloproteinases (MMPs) among multisystem inflammatory syndrome in children (MIS-C), COVID-19 and other groups. (A) Principal component analysis (PCA) was performed to show the distribution of data from the combination of five groups: MIS-C (brown), acute COVID-19 (blue), children with other diseases (yellow color), convalescent COVID-19 (green) and control (red) children depicted using normalized data from plasma levels of MMP-8, 12 and 13. (B) CombiROC analysis was performed to determine the role of MMP 8, 12 and 13 in distinguishing between MIS-C vs. acute COVID-19, MIS-C vs. other diseases, MIS-C vs. convalescent and MIS-C vs. Controls.

    Article Snippet: Principle Component Analysis (PCA) was performed to seek linear combinations of the biomarkers that separate out different clusters corresponding to each biomarker that best explain the variance in the data using the R studio.

    Techniques: Control, Clinical Proteomics