Simplivariate models: uncovering the underlying biology in functional genomics data - Wikidata - awgldk - TriplyDB

Simplivariate models: uncovering the underlying biology in functional genomics data

Simplivariate models: uncovering the underlying biology in functional genomics data

http://www.wikidata.org/entity/Q33941080

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Modelling of mouse experimental colitis by global property screens: a holistic approach to assess drug effects in inflammatory bowel disease Looking back into the future: 30 years of metabolomics at TNO.A metabolomic perspective on coeliac disease.Group-wise ANOVA simultaneous component analysis for designed omics experiments.On the use of the observation-wisek-fold operation in PCA cross-validation Group-wise partial least square regression Group-Wise Principal Component Analysis for Exploratory Data Analysis

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Simplivariate models: uncovering the underlying biology in functional genomics data

http://www.wikidata.org/entity/Q33941080

description

2011 nî lūn-bûn

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2011 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի հունիսին հրատարակված գիտական հոդված

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2011年の論文

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2011年論文

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2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

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2011年論文

@zh-tw

2011年论文

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name

Simplivariate models: uncovering the underlying biology in functional genomics data

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Simplivariate models: uncovering the underlying biology in functional genomics data

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type

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Simplivariate models: uncovering the underlying biology in functional genomics data

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Simplivariate models: uncovering the underlying biology in functional genomics data

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Simplivariate models: uncovering the underlying biology in functional genomics data

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Simplivariate models: uncovering the underlying biology in functional genomics data

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Simplivariate models: uncovering the underlying biology in functional genomics data

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Age K Smilde

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Johan A Westerhuis

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Margriet M W B Hendriks

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Mariët J van der Werf

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P2860

EcoCyc: a comprehensive database resource for Escherichia coli

Recent advances in the formation of the bacterial peptidoglycan monomer unit

A new type of carbohydrate-protein linkage in a glycopeptide from normal human urine

Recent advances in the formation of the bacterial peptidoglycan monomer unit (1985 to 2000)

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

Fusion of mass spectrometry-based metabolomics data.

Centering, scaling, and transformations: improving the biological information content of metabolomics data.

Review: on the analysis and interpretation of correlations in metabolomic data.

Biclustering models for structured microarray data.

NMR-based metabonomics for detection of Helicobacter pylori infection in gerbils: which is more descriptive.

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e20747

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scholarly article

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6

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Edoardo Saccenti

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21698241

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