SemanticLMM: semantic modelling of linear mixed model analysis

Hanna Ćwiek-Kupczyńska; Katarzyna Filipiak; Augustyn Markiewicz; Philippe Rocca-Serra; Alejandra N. Gonzalez-Beltran; Susanna Assunta Sansone; Emilie J. Millet; Fred van Eeuwijk; Agnieszka Ławrynowicz; Paweł Krajewski

doi:10.5281/zenodo.3467077

SemanticLMM: semantic modelling of linear mixed model analysis

Hanna Ćwiek-Kupczyńska
, Katarzyna Filipiak
, Augustyn Markiewicz
, Philippe Rocca-Serra
, Alejandra N. Gonzalez-Beltran
, Susanna Assunta Sansone
, Emilie J. Millet
, Fred van Eeuwijk
, Agnieszka Ławrynowicz
, Paweł Krajewski^*

^*Corresponding author for this work

Research output: Non-textual form › Software

Abstract

Semantic modelling of statistical analysis of dataset with linear mixed models (LMM). The repository contains a set of resources to facilitate representing LMM analysis and its result in a form of RDF graphs:

an ontology STATO-LMM.owl - a module of Statistical Ontology (STATO) with extensions to cover major aspects of data analysis by linear mixed model methodologyexemplary datasets and their statistical analysis by R/Genstat tools, RDF graph generation scripts and its results as TriG filesexemplary queries to discover datasets through a SPARQL endpointa simple tool to generate semantic models from the LMM analysis in R (lme4/nlme package), provided as an R package semLMM

Original language	English
Publisher	Polish Academy of Sciences
Media of output	Online
DOIs	https://doi.org/10.5281/zenodo.3467077
Publication status	Published - 1 Oct 2019

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10.5281/zenodo.3467077Licence: CC BY

1 Article

Semantic concept schema of the linear mixed model of experimental observations
Ćwiek-Kupczyńska, H., Filipiak, K., Markiewicz, A., Rocca-Serra, P., Gonzalez-Beltran, A. N., Sansone, S. A., Millet, E. J., van Eeuwijk, F., Ławrynowicz, A. & Krajewski, P., 27 Feb 2020, In: Scientific Data. 7, 1, 70.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
8 Link opens in a new tab Citations (Scopus)

1 Finished

EPPN2020: European Plant Phenotyping Network 2020
1/05/17 → 31/10/21
Project: EU research project

Cite this

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title = "SemanticLMM: semantic modelling of linear mixed model analysis",

abstract = "Semantic modelling of statistical analysis of dataset with linear mixed models (LMM). The repository contains a set of resources to facilitate representing LMM analysis and its result in a form of RDF graphs: an ontology STATO-LMM.owl - a module of Statistical Ontology (STATO) with extensions to cover major aspects of data analysis by linear mixed model methodologyexemplary datasets and their statistical analysis by R/Genstat tools, RDF graph generation scripts and its results as TriG filesexemplary queries to discover datasets through a SPARQL endpointa simple tool to generate semantic models from the LMM analysis in R (lme4/nlme package), provided as an R package semLMM ",

author = "Hanna {\'C}wiek-Kupczy{\'n}ska and Katarzyna Filipiak and Augustyn Markiewicz and Philippe Rocca-Serra and Gonzalez-Beltran, \{Alejandra N.\} and Sansone, \{Susanna Assunta\} and Millet, \{Emilie J.\} and \{van Eeuwijk\}, Fred and Agnieszka {\L}awrynowicz and Pawe{\l} Krajewski",

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doi = "10.5281/zenodo.3467077",

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AU - Ćwiek-Kupczyńska, Hanna

AU - Filipiak, Katarzyna

AU - Markiewicz, Augustyn

AU - Rocca-Serra, Philippe

AU - Gonzalez-Beltran, Alejandra N.

AU - Sansone, Susanna Assunta

AU - Millet, Emilie J.

AU - van Eeuwijk, Fred

AU - Ławrynowicz, Agnieszka

AU - Krajewski, Paweł

PY - 2019/10/1

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N2 - Semantic modelling of statistical analysis of dataset with linear mixed models (LMM). The repository contains a set of resources to facilitate representing LMM analysis and its result in a form of RDF graphs: an ontology STATO-LMM.owl - a module of Statistical Ontology (STATO) with extensions to cover major aspects of data analysis by linear mixed model methodologyexemplary datasets and their statistical analysis by R/Genstat tools, RDF graph generation scripts and its results as TriG filesexemplary queries to discover datasets through a SPARQL endpointa simple tool to generate semantic models from the LMM analysis in R (lme4/nlme package), provided as an R package semLMM

AB - Semantic modelling of statistical analysis of dataset with linear mixed models (LMM). The repository contains a set of resources to facilitate representing LMM analysis and its result in a form of RDF graphs: an ontology STATO-LMM.owl - a module of Statistical Ontology (STATO) with extensions to cover major aspects of data analysis by linear mixed model methodologyexemplary datasets and their statistical analysis by R/Genstat tools, RDF graph generation scripts and its results as TriG filesexemplary queries to discover datasets through a SPARQL endpointa simple tool to generate semantic models from the LMM analysis in R (lme4/nlme package), provided as an R package semLMM

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DO - 10.5281/zenodo.3467077

M3 - Software

PB - Polish Academy of Sciences

ER -

SemanticLMM: semantic modelling of linear mixed model analysis

Abstract

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Research output

Semantic concept schema of the linear mixed model of experimental observations

Projects

EPPN2020: European Plant Phenotyping Network 2020

Cite this