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

Access to Document

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
7 Citations (Scopus)

1 Finished

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

Cite this

@misc{c39172caf9904ea99a298986f6b7db3c,

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",

year = "2019",

month = oct,

day = "1",

doi = "10.5281/zenodo.3467077",

language = "English",

publisher = "Polish Academy of Sciences",

}

TY - ADVS

T1 - SemanticLMM: semantic modelling of linear mixed model analysis

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

Y1 - 2019/10/1

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

U2 - 10.5281/zenodo.3467077

DO - 10.5281/zenodo.3467077

M3 - Software

PB - Polish Academy of Sciences

ER -

SemanticLMM: semantic modelling of linear mixed model analysis

Abstract

Access to Document

Fingerprint

Research output

Semantic concept schema of the linear mixed model of experimental observations

Projects

EPPN2020: European Plant Phenotyping Network 2020

Cite this