linemodels: clustering effects based on linear relationships

SUMMARY: Estimation of effects of multiple explanatory variables on multiple outcome measures has become routine across life sciences with high-throughput molecular technologies. The linemodels R-package allows a probabilistic clustering of variables based on their observed effect sizes on two outco...

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Detalles Bibliográficos
Autor principal: Pirinen, Matti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005595/
https://www.ncbi.nlm.nih.gov/pubmed/36864614
http://dx.doi.org/10.1093/bioinformatics/btad115
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author Pirinen, Matti
author_facet Pirinen, Matti
author_sort Pirinen, Matti
collection PubMed
description SUMMARY: Estimation of effects of multiple explanatory variables on multiple outcome measures has become routine across life sciences with high-throughput molecular technologies. The linemodels R-package allows a probabilistic clustering of variables based on their observed effect sizes on two outcomes. AVAILABILITY AND IMPLEMENTATION: An open source implementation in R available at github.com/mjpirinen/linemodels.
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spelling pubmed-100055952023-03-11 linemodels: clustering effects based on linear relationships Pirinen, Matti Bioinformatics Applications Note SUMMARY: Estimation of effects of multiple explanatory variables on multiple outcome measures has become routine across life sciences with high-throughput molecular technologies. The linemodels R-package allows a probabilistic clustering of variables based on their observed effect sizes on two outcomes. AVAILABILITY AND IMPLEMENTATION: An open source implementation in R available at github.com/mjpirinen/linemodels. Oxford University Press 2023-03-02 /pmc/articles/PMC10005595/ /pubmed/36864614 http://dx.doi.org/10.1093/bioinformatics/btad115 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Pirinen, Matti
linemodels: clustering effects based on linear relationships
title linemodels: clustering effects based on linear relationships
title_full linemodels: clustering effects based on linear relationships
title_fullStr linemodels: clustering effects based on linear relationships
title_full_unstemmed linemodels: clustering effects based on linear relationships
title_short linemodels: clustering effects based on linear relationships
title_sort linemodels: clustering effects based on linear relationships
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005595/
https://www.ncbi.nlm.nih.gov/pubmed/36864614
http://dx.doi.org/10.1093/bioinformatics/btad115
work_keys_str_mv AT pirinenmatti linemodelsclusteringeffectsbasedonlinearrelationships

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