376 citations · 487 across the 5 of their papers we have counts for
6 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…
Learning false discovery rates by fitting sigmoidal threshold functions
Bernd Klaus, Korbinian Strimmer
False discovery rates (FDR) are typically estimated from a mixture of a null and an alternative distribution. Here, we study a complementary approach proposed by Rice and Spiegelha…
Gene ranking and biomarker discovery under correlation
Verena Zuber, Korbinian Strimmer
Biomarker discovery and gene ranking is a standard task in genomic high throughput analysis. Typically, the ordering of markers is based on a stabilized variant of the t-score, suc…
Entropy inference and the James-Stein estimator, with application to nonlinear gene association networks
Jean Hausser, Korbinian Strimmer
We present a procedure for effective estimation of entropy and mutual information from small-sample data, and apply it to the problem of inferring high-dimensional gene association…