735 citations · 1.9k across the 14 of their papers we have counts for
14 papers
From Physics to Statistics: A Simple Route to Exponential Families via Maximum Entropy
Korbinian Strimmer
Exponential families form the backbone of modern statistics and machine learning, but textbooks seldom derive them from first principles in an accessible way. Although minimal suff…
A whitening approach to probabilistic canonical correlation analysis for omics data integration
Takoua Jendoubi, Korbinian Strimmer
Background: Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications,…
Mass spectrometry analysis using MALDIquant
Sebastian Gibb, Korbinian Strimmer
MALDIquant and associated R packages provide a versatile and completely free open-source platform for analyzing 2D mass spectrometry data as generated for instance by MALDI and SEL…
Optimal whitening and decorrelation
Agnan Kessy, Alex Lewin, Korbinian Strimmer
Whitening, or sphering, is a common preprocessing step in statistical analysis to transform random variables to orthogonality. However, due to rotational freedom there are infinite…
Differential protein expression and peak selection in mass spectrometry data by binary discriminant analysis
Sebastian Gibb, Korbinian Strimmer
Motivation: Proteomic mass spectrometry analysis is becoming routine in clinical diagnostics, for example to monitor cancer biomarkers using blood samples. However, differential pr…
A Simple Data-Adaptive Probabilistic Variant Calling Model
Steve Hoffmann, Peter F. Stadler, Korbinian Strimmer
Background: Several sources of noise obfuscate the identification of single nucleotide variation (SNV) in next generation sequencing data. For instance, errors may be introduced du…