Korbinian Strimmer

University of Manchester — United Kingdom

Biochemistry, Genetics and Molecular Biology · Life Sciences

35h-index29.5kcitations72works0.02yr avg
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Research Topics

Gene expression and cancer classification(24), Genomics and Phylogenetic Studies(21), Bioinformatics and Genomic Networks(13), Genetic diversity and population structure(11), Gene Regulatory Network Analysis(10)

Publications72 total

Konstantin Siroki and Korbinian Strimmer’s contribution to the Discussion of ‘Vintage factor analysis with varimax performs statistical inference’ by Rohe and Zeng
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2023Open Access
Author response: Quantification of protein abundance and interaction defines a mechanism for operation of the circadian clock
2022Open Access
Inferring Gene Dependency Networks from Genomic Longitudinal Data: a Functional Data Approach
SHILAP Revista de lepidopterología·2022· 21 citedOpen Access
Quantification of circadian interactions and protein abundance defines a mechanism for operational stability of the circadian clock
2021· 3 citedOpen Access
Analyses of Phylogenetics and Evolution [R package ape version 5.5]
2021· 28 cited
Probabilistic Canonical Correlation Analysis: A Whitening Approach
arXiv (Cornell University)·2018Open Access
Optimal Whitening and Decorrelation
The American Statistician·2017· 441 citedOpen Access
Optimal Whitening and Decorrelation
Figshare·2017Open Access
Mass Spectrometry Analysis Using MALDIquant
2016· 24 citedOpen Access
Mass spectrometry analysis using MALDIquant
arXiv (Cornell University)·2016Open Access
Analyses of Phylogenetics and Evolution
2015· 29 cited
Retraction Note: TREEFINDER: a powerful graphical analysis environment for molecular phylogenetics
BMC Evolutionary Biology·2015· 14 citedOpen Access
Differential protein expression and peak selection in mass spectrometry data by binary discriminant analysis
Bioinformatics·2015· 37 citedOpen Access
A simple data-adaptive probabilistic variant calling model
Algorithms for Molecular Biology·2015· 5 citedOpen Access
A Simple Data-Adaptive Probabilistic Variant Calling Model
2014Open Access
Signal identification for rare and weak features: higher criticism or false discovery rates?
Biostatistics·2012· 27 citedOpen Access
MALDIquant: a versatile R package for the analysis of mass spectrometry data
Bioinformatics·2012· 684 citedOpen Access
An efficient approach to simultaneous SNP selection: A case study on GAW17 data
arXiv (Cornell University)·2012Open Access
Introduction to Graphical Modelling
2011· 55 cited
Learning false discovery rates by fitting sigmoidal threshold functions
arXiv (Cornell University)·2011· 1 citedOpen Access
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Frequent Co-authors

Arndt von Haeseler(9), Rainer Opgen-Rhein(8), Emmanuel Paradis(4), Julien Claude(4), Anne‐Laure Boulesteix(4), Sebastian Gibb(3), Vincent Moulton(3), Simon P. Blomberg(3), Hoa Sien Cuong(3), Richard Desper(3), Gilles Didier(3), Bernard Durand(3), Julien Y. Dutheil(3), Christoph Heibl(3), Anthony R. Ives(3), Vincent Lefort(3), Pierre Legendre(3), Jim Lemon(3), Rosemary M. McCloskey(3), Johan A. A. Nylander(3)