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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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Application of Phytochemical Screening and a Combined FTIR Spectroscopy and Principal Component Analysis for Effective Discrimination of Two Varieties of Eclipta Alba (L.) Hassk.

research Application of phytochemical screening and a combined FTIR spectroscopy and principal component analysis for effective discrimination of two varieties of Eclipta alba (L.) Hassk.

2 citations , January 2018 in “International Journal of ChemTech Research”

This study used phytochemical screening and FTIR spectroscopy with PCA to reveal slight chemical differences between two varieties of Eclipta alba, providing a method for their effective discrimination.

Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Untested Compounds

research Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds

6 citations , August 2004 in “Journal of Chemical Information and Computer Sciences”

This study found that certain molecular quantum descriptors can be directly correlated with the biological activity of benzo[c]quinolizin-3-ones, potentially aiding in the identification and design of active compounds.

Phytochemical Analyses of Ziziphus Jujuba Mill. Var. Spinosa Seed by Ultrahigh Performance Liquid Chromatography-Tandem Mass Spectrometry and Gas Chromatography-Mass Spectrometry

research Phytochemical analyses of Ziziphus jujuba Mill. var. spinosa seed by ultrahigh performance liquid chromatography-tandem mass spectrometry and gas chromatography-mass spectrometry

38 citations , January 2013 in “Analyst”

This study identified the main secondary metabolites in Ziziphus jujuba seeds and confirmed that UPLC-MS/MS and GC-MS effectively demonstrate their pharmaceutical quality.

research Investigation of human hair using ToF-SIMS: From structural analysis to the identification of cosmetic residues

4 citations , April 2018 in “Journal of vacuum science and technology. B, Nanotechnology & microelectronics”

This study demonstrated the potential of a methodology combining ToF-SIMS and AFM to effectively analyze human hair structure and identify cosmetic residues, which can aid the cosmetic industry in product development.

research 551 Combining Laser Capture Microdissection and RNAseq Analysis to Generate a Human Anagen Hair Follicle Transcriptome Atlas

November 2022 in “The journal of investigative dermatology/Journal of investigative dermatology”

This study generated a transcriptomic map of human hair follicles, identifying compartment-specific gene expression profiles that can aid in developing targeted therapies for hair follicle disorders.

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community We already know how to permanently fix hair loss. The science is done. The only thing missing is the funding to run one experiment.

in Technology 613 upvotes 4 months ago

A permanent hair loss solution could involve reprogramming hair follicles to resist DHT using mRNA and siRNA. However, high costs, safety concerns, and the pharmaceutical industry's preference for ongoing treatments over one-time cures are major obstacles, with finasteride and minoxidil remaining standard treatments.

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Dra.Milena Osorio Abdala. Clinica de Medicina Estetica y Antiaging. Cartagena. Sede principalCartagena · CO

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