Statistics and Computational Biology
Korbinian Strimmer - 10 Selected Papers (December 2009):
For current preprints and additional papers see the
complete list of publications.
-
Gene ranking and biomarker discovery under correlation.
V. Zuber and K. Strimmer. 2009.
Bioinformatics 25: 2700-2707.
(reprint, arXiv:0902.0751)
- Entropy inference and the James-Stein estimator, with application
to nonlinear gene association networks.
J. Hausser and K. Strimmer. 2009.
J. Mach. Learn. Res. 10: 1469-1484.
(reprint, arXiv:0811.3579)
- A general modular framework for gene set enrichment analysis.
M. Ackermann and K. Strimmer. 2009.
BMC Bioinformatics 10: 47.
(reprint)
- A unified approach to false discovery rate estimation.
K. Strimmer. 2008.
BMC Bioinformatics 9: 303.
(reprint,
typographic corrections)
- Accurate ranking of differentially
expressed genes by a distribution- free shrinkage
approach.
R. Opgen-Rhein and K. Strimmer. 2007.
Statist. Appl.
Genet. Mol. Biol. 6: 9.
(reprint,
typographic corrections)
- A shrinkage approach to large-scale covariance matrix
estimation and implications for functional genomics.
J. Schäfer and K. Strimmer. 2005.
Statist. Appl.
Genet. Mol. Biol. 4: 32.
(reprint)
- An empirical Bayes approach to inferring large-scale gene association
networks.
J. Schäfer and K. Strimmer. 2005.
Bioinformatics
21: 754-764.
(reprint)
- Inference of demographic history from genealogical trees using reversible
jump Markov chain Monte Carlo.
R. Opgen-Rhein, L. Fahrmeir, and K. Strimmer. 2005.
BMC Evol. Biol.
5: 6.
(reprint)
- Identifying periodically expressed transcripts in microarray time series
data.
S. Wichert, K. Fokianos, and K. Strimmer. 2004.
Bioinformatics
20: 5-20.
(reprint,
corrigendum)
- Modeling gene expression
measurement error: a quasi-likelihood approach.
K. Strimmer. 2003.
BMC Bioinformatics
4: 10.
(reprint)
Please note that all manuscript files are for private use only and may not
be distributed without permission of the respective copyright owners.
Last modified:
December 9, 2009