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D-Index & Metrics

Engineering and Technology

D-Index
30
Citations
33351
World Ranking
9736
National Ranking
612

Overview

Korbinian Strimmer is affiliated with the University of Manchester in the United Kingdom. Their research spans multiple interdisciplinary scientific fields including Biochemistry, Genetics and Molecular Biology; Agricultural and Biological Sciences; and Mathematics. They focus particularly on areas that intersect biology and advanced statistical methodologies.

The scientist's work covers several main topics, which include:

  • Bioinformatics and Genomic Networks
  • Circadian rhythm and melatonin
  • Light effects on plants
  • Genetics, Aging, and Longevity in Model Organisms
  • Statistical Methods and Applications
  • Advanced Statistical Methods and Models
  • Sensory Analysis and Statistical Methods

Subfields of study reflect this interdisciplinary approach, spanning:

  • Statistics and Probability
  • Molecular Biology
  • Endocrine and Autonomic Systems
  • Plant Science
  • Aging

Korbinian Strimmer's recent published papers demonstrate collaborations with different co-authors and engagement with various scientific journals and platforms. Their papers include:

  • "Inferring Gene Dependency Networks from Genomic Longitudinal Data: a Functional Data Approach," 2022, published in DOAJ (DOAJ: Directory of Open Access Journals)
  • "Quantification of circadian interactions and protein abundance defines a mechanism for operational stability of the circadian clock," 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • "Konstantin Siroki and Korbinian Strimmer's contribution to the Discussion of 'Vintage factor analysis with varimax performs statistical inference' by Rohe and Zeng," 2023, Journal of the Royal Statistical Society Series B (Statistical Methodology)

Frequent co-authors associated with these publications include:

  • Rainer Opgen-Rhein
  • James Bagnall
  • Alex A Koch
  • Nicola J. Smyllie
  • Nicola Begley

The scientist's contributions appear in a range of publication venues, among which are:

  • DOAJ (DOAJ: Directory of Open Access Journals)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)

Best Publications

  • APE: Analyses of Phylogenetics and Evolution in R language

    Emmanuel Paradis;Julien Claude;Korbinian Strimmer

  • TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing.

    Heiko A. Schmidt;Korbinian Strimmer;Martin Vingron;Arndt von Haeseler

  • Quartet Puzzling: A Quartet Maximum-Likelihood Method for Reconstructing Tree Topologies

    K Strimmer;A von Haeseler

  • A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics

    Juliane Schäfer;Korbinian Strimmer

  • TREEFINDER: a powerful graphical analysis environment for molecular phylogenetics

    Jobb G;von Haeseler A;von Haeseler A;Strimmer K

  • Retraction Note: TREEFINDER: a powerful graphical analysis environment for molecular phylogenetics

    Gangolf Jobb;Arndt von Haeseler;Arndt von Haeseler;Korbinian Strimmer

  • Likelihood-mapping: A simple method to visualize phylogenetic content of a sequence alignment

    Korbinian Strimmer;Arndt von Haeseler

  • An empirical Bayes approach to inferring large-scale gene association networks

    Juliane Schäfer;Korbinian Strimmer

  • Partial least squares: a versatile tool for the analysis of high-dimensional genomic data

    Anne-Laure Boulesteix;Korbinian Strimmer

  • fdrtool: a versatile R package for estimating local and tail area-based false discovery rates

    Korbinian Strimmer

  • MALDIquant: a versatile R package for the analysis of mass spectrometry data

    Sebastian Gibb;Korbinian Strimmer

  • A unified approach to false discovery rate estimation

    Korbinian Strimmer

  • Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks

    Jean Hausser;Korbinian Strimmer

  • From correlation to causation networks: a simple approximate learning algorithm and its application to high-dimensional plant gene expression data.

    Rainer Opgen-Rhein;Korbinian Strimmer

  • A general modular framework for gene set enrichment analysis.

    Marit Ackermann;Korbinian Strimmer

  • Identifying periodically expressed transcripts in microarray time series data

    Sofia Wichert;Konstantinos Fokianos;Korbinian Strimmer

  • Exploring the Demographic History of DNA Sequences Using the Generalized Skyline Plot

    Korbinian Strimmer;Oliver G. Pybus

  • Optimal Whitening and Decorrelation

    Agnan Kessy;Alex Lewin;Korbinian Strimmer

  • Identifying periodically expressed transcripts in microarray time series data

    Unknown

  • Optimal whitening and decorrelation

    Agnan Kessy;Alex Lewin;Korbinian Strimmer

  • Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process

    Rainer Opgen-Rhein;Korbinian Strimmer

  • PAL: an object-oriented programming library for molecular evolution and phylogenetics.

    Alexei J. Drummond;Korbinian Strimmer

  • Feature selection in omics prediction problems using cat scores and false nondiscovery rate control

    Miika Ahdesmäki;Korbinian Strimmer

Frequent Co-Authors

Arndt von Haeseler
Arndt von Haeseler University of Vienna
Anne-Laure Boulesteix
Anne-Laure Boulesteix Ludwig-Maximilians-Universität München
Peter F. Stadler
Peter F. Stadler Leipzig University
Alexei J. Drummond
Alexei J. Drummond University of Auckland
Vincent Moulton
Vincent Moulton University of East Anglia
Marco Salemi
Marco Salemi University of Florida
Edward S. Buckler
Edward S. Buckler Cornell University
Olivier Gascuel
Olivier Gascuel Université Paris Cité
Anthony R. Ives
Anthony R. Ives University of Wisconsin–Madison
Simone P. Blomberg
Simone P. Blomberg University of Queensland

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