Peter Meinicke

According to our database1, Peter Meinicke authored at least 36 papers between 2000 and 2015.

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Bibliography

2015
UProC: tools for ultra-fast protein domain classification.
Bioinform., 2015

Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data.
Bioinform., 2015

2014
Characterizing metagenomic novelty with unexplained protein domain hits.
Proceedings of the German conference on bioinformatics 2014, September 28, 2014

2013
Protein signature-based estimation of metagenomic abundances including all domains of life and viruses.
Bioinform., 2013

Dinucleotide distance histograms for fast detection of rRNA in metatranscriptomic sequences.
Proceedings of the German Conference on Bioinformatics 2013, 2013

On the estimation of metabolic profiles in metagenomics.
Proceedings of the German Conference on Bioinformatics 2013, 2013

2012
Low Latency Recognition and Reproduction of Natural Gesture Trajectories.
Proceedings of the ICPRAM 2012, 2012

2011
CoMet - a web server for comparative functional profiling of metagenomes.
Nucleic Acids Res., 2011

Mixture models for analysis of the taxonomic composition of metagenomes.
Bioinform., 2011

2010
DIALIGN-TX and multiple protein alignment using secondary structure information at GOBICS.
Nucleic Acids Res., 2010

Predicting phenotypic traits of prokaryotes from protein domain frequencies.
BMC Bioinform., 2010

Treephyler: fast taxonomic profiling of metagenomes.
Bioinform., 2010

2009
Orphelia: predicting genes in metagenomic sequencing reads.
Nucleic Acids Res., 2009

MarVis: a tool for clustering and visualization of metabolic biomarkers.
BMC Bioinform., 2009

2008
Word correlation matrices for protein sequence analysis and remote homology detection.
BMC Bioinform., 2008

Gene prediction in metagenomic fragments: A large scale machine learning approach.
BMC Bioinform., 2008

Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps.
Algorithms Mol. Biol., 2008

Fast Target Set Reduction for Large-Scale Protein Function Prediction: A Multi-class Multi-label Machine Learning Approach.
Proceedings of the Algorithms in Bioinformatics, 8th International Workshop, 2008

2007
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts.
Int. J. Neural Syst., 2007

2006
TICO: a tool for postprocessing the predictions of prokaryotic translation initiation sites.
Nucleic Acids Res., 2006

Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models.
BMC Bioinform., 2006

An unsupervised classification scheme for improving predictions of prokaryotic TIS.
BMC Bioinform., 2006

Remote homology detection based on oligomer distances.
Bioinform., 2006

P-value based visualization of codon usage data.
Algorithms Mol. Biol., 2006

2005
Principal Surfaces from Unsupervised Kernel Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

TICO: a tool for improving predictions of prokaryotic translation initiation sites.
Bioinform., 2005

2004
BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm.
IEEE Trans. Biomed. Eng., 2004

Identification of discriminative features in the EEG.
Intell. Data Anal., 2004

Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites.
BMC Bioinform., 2004

2002
Discriminative Densities from Maximum Contrast Estimation.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Improving Transfer Rates in Brain Computer Interfacing: A Case Study.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Maximum Contrast Classifiers.
Proceedings of the Artificial Neural Networks, 2002

2001
Resolution-Based Complexity Control for Gaussian Mixture Models.
Neural Comput., 2001

Quantizing Density Estimators.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Unsupervised learning in a generalized regression framework.
PhD thesis, 2000


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