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custom written code based on principal component analysis (pca) in  (MathWorks Inc)


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    MathWorks Inc custom written code based on principal component analysis (pca) in
    Custom Written Code Based On Principal Component Analysis (Pca) In, 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/pca-based+code/pm18215804-202-10-16
    Average 90 stars, based on 1 article reviews
    custom written code based on principal component analysis (pca) in - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Quantitative Confocal Microscopy for Grouping of Dose-Response Data: Deciphering Calcium Sequestration and Subsequent Cell Death in the Presence of Excess Norepinephrine.
    Article Snippet: Fluorescent calcium (Ca2+) imaging is one of the preferred methods to record cellular activity during in vitro preclinical studies, high-content drug screening, and toxicity analysis.. Visualization and analysis for dose–response data obtained using high-resolution imaging remain challenging, due to the inherent heterogeneity present in the Ca2+ spiking.. To address this challenge, we propose measurement of cytosolic Ca2+ ions using spinning-disk confocal microscopy and machine learning–based analytics that is scalable.

    Article Title: Proteomics Evidence of a Systemic Response to Desiccation in the Resurrection Plant Haberlea rhodopensis
    Article Snippet: The multivariate data were summarized by principal component analysis (PCA) and hierarchical cluster analysis (HCA) in the MatLab (Mathworks, Natick, MA, USA) software according to standard algorithms.

    Article Title: Different dry hopping and fermentation methods: influence on beer nutritional quality.
    Article Snippet: Background Nowadays, craft beer market is booming and the consumer trend for trying something new is increasing.. Here, nine different treatments of a craft beer were produced in a pilot plant, studying fermentation and dry-hopping types.. Quality parameters of the beer such as polyphenols, antioxidants, bitterness, colour or alcohol were analyzed.

    Article Title: A systemic lupus erythematosus gene expression array in disease diagnosis and classification: a preliminary report
    Article Snippet: Principal component analysis (PCA) was applied to identify directions (principal components) along which the variation of the data is maximal 11 , 12 using the Matlab (7.0R14, MathWorks) software.

    Article Title: Ultra-high-field imaging reveals increased whole brain connectivity underpins cognitive strategies that attenuate pain
    Article Snippet: We computed principal component analyses (PCA) separately for each ROI and subject and selected the first component (Matlab, The MathWorks, Inc, USA).

    Article Title: Rational medium optimization based on comparative metabolic profiling analysis to improve fumaric acid production.
    Article Snippet: To rationally guide fumaric acid production improvement, metabolic profiling approach was performed to analyze metabolite changes of Rhizopus oryzae FM19 under different fermentation conditions.. A correlation between the metabolic profiling and fumaric acid produc tion was revealed by principal component analysis as well as partial least squar es.. Citric acid, oxaloacetic acid, 2-oxoglutarate, lactic acid, proline, alanine, valine, leucine were identified to be mainly responsible for the metaboli sm difference, which were involved in the Embden–Meyerhof–Parnas, tricarboxylic acid cycle, amino acid metabolism and fatty acid metabolism.

    Article Title: Direct identification of forensic body fluids by MALDI-MS.
    Article Snippet: The rapid identification of human body fluids is meaningful for forensic casework.. However, current methods suffer from several limitations such as poor sensitivity, time consumption and big sample consumption.. Herein, we developed a mass spectrometry method to distinguish human body fluids (blood, semen, urine, sweat, and saliva) based on small molecular regions with no pretreatment, microliter sample consumption and high throughput.

    Article Title: Patient-derived and artificial ascites have minor effects on MeT-5A mesothelial cells and do not facilitate ovarian cancer cell adhesion
    Article Snippet: All datasets (texture parameters) were evaluated using multivariate analysis based on principal component analysis (PCA) [ ] in Matlab (MathWorks, USA) to determine principal component (PC) scores.

    Software:

    Article Title: Quantitative Confocal Microscopy for Grouping of Dose-Response Data: Deciphering Calcium Sequestration and Subsequent Cell Death in the Presence of Excess Norepinephrine.
    Article Snippet: Fluorescent calcium (Ca2+) imaging is one of the preferred methods to record cellular activity during in vitro preclinical studies, high-content drug screening, and toxicity analysis.. Visualization and analysis for dose–response data obtained using high-resolution imaging remain challenging, due to the inherent heterogeneity present in the Ca2+ spiking.. To address this challenge, we propose measurement of cytosolic Ca2+ ions using spinning-disk confocal microscopy and machine learning–based analytics that is scalable.

    Article Title: Proteomics Evidence of a Systemic Response to Desiccation in the Resurrection Plant Haberlea rhodopensis
    Article Snippet: The multivariate data were summarized by principal component analysis (PCA) and hierarchical cluster analysis (HCA) in the MatLab (Mathworks, Natick, MA, USA) software according to standard algorithms.

    Article Title: Different dry hopping and fermentation methods: influence on beer nutritional quality.
    Article Snippet: Background Nowadays, craft beer market is booming and the consumer trend for trying something new is increasing.. Here, nine different treatments of a craft beer were produced in a pilot plant, studying fermentation and dry-hopping types.. Quality parameters of the beer such as polyphenols, antioxidants, bitterness, colour or alcohol were analyzed.

    Article Title: A systemic lupus erythematosus gene expression array in disease diagnosis and classification: a preliminary report
    Article Snippet: Principal component analysis (PCA) was applied to identify directions (principal components) along which the variation of the data is maximal 11 , 12 using the Matlab (7.0R14, MathWorks) software.

    Article Title: Ultra-high-field imaging reveals increased whole brain connectivity underpins cognitive strategies that attenuate pain
    Article Snippet: We computed principal component analyses (PCA) separately for each ROI and subject and selected the first component (Matlab, The MathWorks, Inc, USA).

    Article Title: Rational medium optimization based on comparative metabolic profiling analysis to improve fumaric acid production.
    Article Snippet: To rationally guide fumaric acid production improvement, metabolic profiling approach was performed to analyze metabolite changes of Rhizopus oryzae FM19 under different fermentation conditions.. A correlation between the metabolic profiling and fumaric acid produc tion was revealed by principal component analysis as well as partial least squar es.. Citric acid, oxaloacetic acid, 2-oxoglutarate, lactic acid, proline, alanine, valine, leucine were identified to be mainly responsible for the metaboli sm difference, which were involved in the Embden–Meyerhof–Parnas, tricarboxylic acid cycle, amino acid metabolism and fatty acid metabolism.

    Article Title: Direct identification of forensic body fluids by MALDI-MS.
    Article Snippet: The rapid identification of human body fluids is meaningful for forensic casework.. However, current methods suffer from several limitations such as poor sensitivity, time consumption and big sample consumption.. Herein, we developed a mass spectrometry method to distinguish human body fluids (blood, semen, urine, sweat, and saliva) based on small molecular regions with no pretreatment, microliter sample consumption and high throughput.

    Article Title: Patient-derived and artificial ascites have minor effects on MeT-5A mesothelial cells and do not facilitate ovarian cancer cell adhesion
    Article Snippet: All datasets (texture parameters) were evaluated using multivariate analysis based on principal component analysis (PCA) [ ] in Matlab (MathWorks, USA) to determine principal component (PC) scores.



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