2 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…