How to model temporal changes in nontargeted metabolomics study? A Bayesian multilevel perspective.

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How to model temporal changes in nontargeted metabolomics study? A Bayesian multilevel perspective.

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2017 nî lūn-bûn

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2017年学术文章

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How to model temporal changes ...... yesian multilevel perspective.

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How to model temporal changes ...... yesian multilevel perspective.

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label

How to model temporal changes ...... yesian multilevel perspective.

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How to model temporal changes ...... yesian multilevel perspective.

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How to model temporal changes ...... yesian multilevel perspective.

@en

How to model temporal changes ...... yesian multilevel perspective.

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P1476

How to model temporal changes ...... yesian multilevel perspective.

@en

P2093

Arlette Yumba Mpanga

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Damian Szczesny

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Emilia Daghir-Wojtkowiak

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P2860

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

Comprehensive Data Scientific Procedure for Enhanced Analysis and Interpretation of Real-Time Breath Measurements in In Vivo Aroma-Release Studies.

PLS-Based and Regularization-Based Methods for the Selection of Relevant Variables in Non-targeted Metabolomics Data

A New Strategy for Analyzing Time-Series Data Using Dynamic Networks: Identifying Prospective Biomarkers of Hepatocellular Carcinoma.

Multilevel pharmacokinetics-driven modeling of metabolomics data.

Mass spectrometry-based metabolomics.

Modelling short time series in metabolomics: a functional data analysis approach.

A statistical framework for biomarker discovery in metabolomic time course data.

A microarray analysis of the temporal response of liver to methylprednisolone: a comparative analysis of two dosing regimens.

A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding.

P304

4667-4676

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scholarly article

P356

10.1002/JSSC.201700918

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P433

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P478

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P50

Roman Kaliszan

Paweł Wiczling

M Markuszewski

P577

2017-10-24T00:00:00Z

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P698

29064638

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