Showing 21 - 26 results of 26 for search '"multivariate statistics"', query time: 0.03s Refine Results
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    Quantitative descriptive analysis, non-targeted metabolomics and molecular docking reveal the dynamic aging and taste formation mechanism in raw Pu-erh tea during the storage by Bingsong Ma, Cunqiang Ma, Binxing Zhou, Xuan Chen, Yuhua Wang, Yifan Li, Junfeng Yin, Xinghui Li

    Published 2025-01-01
    “…In this study, quantitative descriptive analysis (QDA) and UHPLC-Orbitrap-MS/MS-based non-targeted metabolomics were performed to illustrate dynamic changes of taste compounds across 18 RaPT samples during the storage. Multivariate statistical analyses effectively classified stored RaPT into three groups based on storage stages, confirming that storage duration, rather than environmental conditions, primarily influences the taste profile and the changes in non-volatile compounds. …”
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  3. 23

    An unbiased cell morphology-based screen for new, biologically active small molecules. by Masahiro Tanaka, Raynard Bateman, Daniel Rauh, Eugeni Vaisberg, Shyam Ramachandani, Chao Zhang, Kirk C Hansen, Alma L Burlingame, Jay K Trautman, Kevan M Shokat, Cynthia L Adams

    Published 2005-05-01
    “…Cellular phenotypes induced by each compound were quantified by multivariate statistical analysis of the morphology, staining intensity, and spatial attributes of the cellular nuclei, microtubules, and Golgi compartments. …”
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    Differences in Metabolites of Different Varieties from Xinjiang Large-fruit Sea Buckthorn as Analyzed by Non-targeted Metabolomics by Rong HAN, Yan MA, Shengjie LI, Xintao MENG, Mingqiang XU, Ting ZHANG, Yan PAN

    Published 2025-02-01
    “…This experiment aimed to investigate the differences in metabolites of different varieties from Xinjiang large-fruit sea buckthorn, ultra high performance liquid chromatography-mass spectrometry (UPLC-QTOF-MS) coupled with multivariate statistical analysis and pathway enrichment analysis were used to characterize the metabolites of six Xinjiang large-fruit sea buckthorn species ('Mixed Fruit', 'Giant', 'Shenqunhon', 'Wucifeng', 'Xiangyang' and 'Zhuangyuan Yellow') were subjected to non-targeted metabolomics study. …”
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  6. 26

    An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical... by Abhijeet Das

    Published 2025-01-01
    “…To achieve this goal, this investigation relies on Drinking (Dr)-Water Quality Index (WQI) and multivariate statistical techniques including discriminant analysis (DA), to assess the variations of surface water quality in the selected region. …”
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