Cargando…
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...
Autor principal: | Pirinen, Matti |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
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 |
Ejemplares similares
-
biMM: efficient estimation of genetic variances and covariances for cohorts with high-dimensional phenotype measurements
por: Pirinen, Matti, et al.
Publicado: (2017) -
PathCluster: a framework for gene set-based hierarchical clustering
por: Kim, Tae-Min, et al.
Publicado: (2008) -
BioCluster: Tool for Identification and Clustering of Enterobacteriaceae Based on Biochemical Data
por: Abdullah, Ahmed, et al.
Publicado: (2015) -
Panache: a web browser-based viewer for linearized pangenomes
por: Durant, Éloi, et al.
Publicado: (2021) -
MTG2: an efficient algorithm for multivariate linear mixed model analysis based on genomic information
por: Lee, S. H., et al.
Publicado: (2016)