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    Did you mean Principal Component Analysis?
    Glossary Principal Component Analysis

    statistical method reducing data dimensions while preserving variance

    Principal Component Analysis (PCA) is a statistical technique used to simplify complex datasets by transforming them into a set of new, uncorrelated variables called principal components. These components capture the most significant patterns in the data, making it easier to visualize and analyze, especially in fields like genetics and biology where large datasets are common.

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    1. Application of phytochemical screening and a combined FTIR spectroscopy and principal component analysis for effective discrimination of two varieties of Eclipta alba (L.) Hassk. International Journal of ChemTech Research · 2018 · 2 citations
    2. Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds Journal of Chemical Information and Computer Sciences · 2004 · 6 citations
    3. Phytochemical analyses of Ziziphus jujuba Mill. var. spinosa seed by ultrahigh performance liquid chromatography-tandem mass spectrometry and gas chromatography-mass spectrometry Analyst · 2013 · 38 citations
    4. Investigation of human hair using ToF-SIMS: From structural analysis to the identification of cosmetic residues Journal of vacuum science and technology. B, Nanotechnology & microelectronics · 2018 · 4 citations
    5. 551 Combining Laser Capture Microdissection and RNAseq Analysis to Generate a Human Anagen Hair Follicle Transcriptome Atlas 2022
    6. Worldwide diversity of hair curliness: a new method of assessment International Journal of Dermatology · 2007 · 95 citations
    7. The Black identity, hair product use, and breast cancer scale PLoS ONE · 2019 · 24 citations
    8. Characterization of the lipid composition at the proximal root regions of human hair International Journal of Cosmetic Science · 2005 · 41 citations
    9. 555 Dermal single-cell atlas: a novel tool to explore fibroblast heterogeneity Journal of Investigative Dermatology · 2022
    10. 267 Deep phenotyping of patients with xeroderma pigmentosum and trichothiodystrophy Journal of Investigative Dermatology · 2017
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