3 papers
stat.ME2024
General Effect Modelling (GEM) -- Part 3. GEM applied on proteome data of cerebrospinal fluid of multiple sclerosis and clinically isolated syndrome
Ellen Færgestad Mosleth, Kjell-Morten Myhr, Christian Alexander Vedeler +4
The novel data analytical platform General Effect Modelling (GEM), is an umbrella platform covering different data analytical methods that handle data with multiple design variable…
stat.ME2024
General Effect Modelling (GEM) -- Part 2. Multivariate GEM applied to gene expression data of type 2 diabetes detects information that is lost by univariate validation
Ellen Færgestad Mosleth, Simon Erling Nitter Dankel, Gunnar Mellgren +7
General Effect Modelling (GEM) is an umbrella over different methods that utilise effects in the analyses of data with multiple design variables and multivariate responses. To demo…
stat.ME2024
General Effect Modelling (GEM) -- Part 1. Method description
Ellen Færgestad Mosleth, Kristian Hovde Liland
We present a flexible tool, called General Effect Modelling (GEM), for the analysis of any multivariate data influenced by one or more qualitative (categorical) or quantitative (co…