ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data. - Test2 - elhamkhani - TriplyDB

ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data.

ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data.

http://www.wikidata.org/entity/Q30989683

about

Statistical validation of megavariate effects in ASCA MetaboAnalyst 2.0--a comprehensive server for metabolomic data analysis Biomarkers for physical frailty and sarcopenia: state of the science and future developments Modeling and Classification of Kinetic Patterns of Dynamic Metabolic Biomarkers in Physical Activity Partial Least Squares with Structured Output for Modelling the Metabolomics Data Obtained from Complex Experimental Designs: A Study into the Y-Block Coding Functional assessment of time course microarray data Highly-parallel metabolomics approaches using LC-MS for pharmaceutical and environmental analysis.Perfluoroalkylated Substance Effects in Xenopus laevis A6 Kidney Epithelial Cells Determined by ATR-FTIR Spectroscopy and Chemometric Analysis The challenges for molecular nutrition research 2: quantification of the nutritional phenotype.SPE-NMR metabolite sub-profiling of urine.Statistical methods for the analysis of high-throughput metabolomics data.Analysis of multi-source metabolomic data using joint and individual variation explained (JIVE).Interpretation of ANOVA models for microarray data using PCA.A New Strategy for Analyzing Time-Series Data Using Dynamic Networks: Identifying Prospective Biomarkers of Hepatocellular Carcinoma.Two-way principal component analysis for matrix-variate data, with an application to functional magnetic resonance imaging data.Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis.Contribution towards a Metabolite Profile of the Detoxification of Benzoic Acid through Glycine Conjugation: An Intervention Study.Piecewise multivariate modelling of sequential metabolic profiling data Mass spectrometry-based metabolomics.Matrix correlations for high-dimensional data: the modified RV-coefficient.Improving the analysis of designed studies by combining statistical modelling with study design information Crossfit analysis: a novel method to characterize the dynamics of induced plant responses Dynamic metabolomic data analysis: a tutorial review Serial Expression Analysis: a web tool for the analysis of serial gene expression data Multivariate multi-way analysis of multi-source data.Simplivariate models: uncovering the underlying biology in functional genomics data Statistical hypothesis testing of factor loading in principal component analysis and its application to metabolite set enrichment analysis Metabolomics in the developmental origins of obesity and its cardiometabolic consequences.Skin reaction and regeneration after single sodium lauryl sulfate exposure stratified by filaggrin genotype and atopic dermatitis phenotype.qRT-PCR evaluation of the transcriptional response of zebra mussel to heavy metals.Dynamic Metabolic Disruption in Rats Perinatally Exposed to Low Doses of Bisphenol-A.Potential association of vacuum cleaning frequency with an altered gut microbiota in pregnant women and their 2-year-old children (1)H NMR metabolomic study of auxotrophic starvation in yeast using Multivariate Curve Resolution-Alternating Least Squares for Pathway Analysis.Gene expression and metabolism preceding soft scald, a chilling injury of 'Honeycrisp' apple fruit Metabonomic signature analysis of cervical carcinoma and precancerous lesions in women by (1)H NMR spectroscopy.Evidence of different metabolic phenotypes in humans.Identification of Conserved and Diverse Metabolic Shifts during Rice Grain Development.Gender-dependent progression of systemic metabolic states in early childhood.A comparison of five lipid extraction solvent systems for lipidomic studies of human LDL Biochemical individuality reflected in chromatographic, electrophoretic and mass-spectrometric profiles

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P2860

ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data.

http://www.wikidata.org/entity/Q30989683

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Jan van der Greef

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Jeroen J Jansen

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Pattern recognition analysis of high resolution 1H NMR spectra of urine. A nonlinear mapping approach to the classification of toxicological data.

Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis.

Geometric trajectory analysis of metabolic responses to toxicity can define treatment specific profiles.

Ascorbic acid increases the severity of spontaneous knee osteoarthritis in a guinea pig model.

Do antioxidant micronutrients protect against the development and progression of knee osteoarthritis?

The Scree Test For The Number Of Factors

Improved analysis of multivariate data by variable stability scaling: application to NMR-based metabolic profiling

Batch statistical processing of1H NMR-derived urinary spectral data

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