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Peter Meinicke
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2010 – 2019
- 2015
- [j26]Peter Meinicke:
UProC: tools for ultra-fast protein domain classification. Bioinform. 31(9): 1382-1388 (2015) - [j25]Kathrin Petra Aßhauer, Bernd Wemheuer, Rolf Daniel
, Peter Meinicke:
Tax4Fun: predicting functional profiles from metagenomic 16S rRNA data. Bioinform. 31(17): 2882-2884 (2015) - 2014
- [c10]Thomas Lingner, Peter Meinicke:
Characterizing metagenomic novelty with unexplained protein domain hits. GCB 2014: 69-78 - 2013
- [j24]Heiner Klingenberg, Kathrin Petra Aßhauer, Thomas Lingner, Peter Meinicke:
Protein signature-based estimation of metagenomic abundances including all domains of life and viruses. Bioinform. 29(8): 973-980 (2013) - [c9]Kathrin Petra Aßhauer, Peter Meinicke:
On the estimation of metabolic profiles in metagenomics. GCB 2013: 1-13 - [c8]Heiner Klingenberg, Robin Martinjak, Frank Oliver Glöckner, Rolf Daniel
Dinucleotide distance histograms for fast detection of rRNA in metatranscriptomic sequences. GCB 2013: 80-89 - 2012
- [c7]Ulf Großekathöfer, Amir Sadeghipour, Thomas Lingner, Peter Meinicke, Thomas Hermann, Stefan Kopp:
Low Latency Recognition and Reproduction of Natural Gesture Trajectories. ICPRAM (2) 2012: 154-161 - 2011
- [j23]Peter Meinicke, Kathrin Petra Aßhauer, Thomas Lingner:
Mixture models for analysis of the taxonomic composition of metagenomes. Bioinform. 27(12): 1618-1624 (2011) - [j22]Thomas Lingner, Kathrin Petra Aßhauer, Fabian Schreiber
CoMet - a web server for comparative functional profiling of metagenomes. Nucleic Acids Res. 39(Web-Server-Issue): 518-523 (2011) - 2010
- [j21]Fabian Schreiber
Treephyler: fast taxonomic profiling of metagenomes. Bioinform. 26(7): 960-961 (2010) - [j20]Thomas Lingner, Stefanie Mühlhausen
Predicting phenotypic traits of prokaryotes from protein domain frequencies. BMC Bioinform. 11: 481 (2010) - [j19]Amarendran Ramaswami Subramanian, Suvrat Hiran, Rasmus Steinkamp, Peter Meinicke, Eduardo Corel
DIALIGN-TX and multiple protein alignment using secondary structure information at GOBICS. Nucleic Acids Res. 38(Web-Server-Issue): 19-22 (2010)
2000 – 2009
- 2009
- [j18]Alexander Kaever, Thomas Lingner, Kirstin Feussner, Cornelia Göbel, Ivo Feussner
MarVis: a tool for clustering and visualization of metabolic biomarkers. BMC Bioinform. 10 (2009) - [j17]Katharina Jasmin Hoff
Orphelia: predicting genes in metagenomic sequencing reads. Nucleic Acids Res. 37(Web-Server-Issue): 101-105 (2009) - 2008
- [j16]Peter Meinicke, Thomas Lingner, Alexander Kaever, Kirstin Feussner, Cornelia Göbel, Ivo Feussner
Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps. Algorithms Mol. Biol. 3 (2008) - [j15]Katharina Jasmin Hoff
Gene prediction in metagenomic fragments: A large scale machine learning approach. BMC Bioinform. 9 (2008) - [j14]Thomas Lingner, Peter Meinicke:
Word correlation matrices for protein sequence analysis and remote homology detection. BMC Bioinform. 9 (2008) - [c6]Thomas Lingner, Peter Meinicke:
Fast Target Set Reduction for Large-Scale Protein Function Prediction: A Multi-class Multi-label Machine Learning Approach. WABI 2008: 198-209 - 2007
- [j13]Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel:
Evolutionary Optimization of Sequence Kernels for Detection of bacterial gene Starts. Int. J. Neural Syst. 17(5): 369-381 (2007) - [j12]Christian Igel, Tobias Glasmachers, Britta Mersch, Nico Pfeifer
Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 216-226 (2007) - 2006
- [j11]Peter Meinicke, Thomas Brodag, Wolfgang Florian Fricke
P-value based visualization of codon usage data. Algorithms Mol. Biol. 1 (2006) - [j10]Thomas Lingner, Peter Meinicke:
Remote homology detection based on oligomer distances. Bioinform. 22(18): 2224-2231 (2006) - [j9]Maike Tech, Peter Meinicke:
An unsupervised classification scheme for improving predictions of prokaryotic TIS. BMC Bioinform. 7: 121 (2006) - [j8]Stephan Waack, Oliver Keller, Roman Asper, Thomas Brodag, Carsten Damm
Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models. BMC Bioinform. 7: 142 (2006) - [j7]Maike Tech, Burkhard Morgenstern, Peter Meinicke:
TICO: a tool for postprocessing the predictions of prokaryotic translation initiation sites. Nucleic Acids Res. 34(Web-Server-Issue): 588-590 (2006) - [c5]Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel:
Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. ICANN (2) 2006: 827-836 - 2005
- [j6]Maike Tech, Nico Pfeifer
TICO: a tool for improving predictions of prokaryotic translation initiation sites. Bioinform. 21(17): 3568-3569 (2005) - [j5]Peter Meinicke, Stefan Klanke, Roland Memisevic, Helge J. Ritter:
Principal Surfaces from Unsupervised Kernel Regression. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1379-1391 (2005) - 2004
- [j4]Peter Meinicke, Maike Tech, Burkhard Morgenstern
Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites. BMC Bioinform. 5: 169 (2004) - [j3]Peter Meinicke, Thomas Hermann, Holger Bekel, Horst M. Müller, Sabine Weiss, Helge J. Ritter:
Identification of discriminative features in the EEG. Intell. Data Anal. 8(1): 97-107 (2004) - [j2]Matthias Kaper, Peter Meinicke, Ulf Großekathöfer, Thomas Lingner, Helge J. Ritter:
BCI competition 2003-data set IIb: support vector machines for the P300 speller paradigm. IEEE Trans. Biomed. Eng. 51(6): 1073-1076 (2004) - 2002
- [c4]Peter Meinicke, Thorsten Twellmann, Helge J. Ritter:
Maximum Contrast Classifiers. ICANN 2002: 745-750 - [c3]Peter Meinicke, Thorsten Twellmann, Helge J. Ritter:
Discriminative Densities from Maximum Contrast Estimation. NIPS 2002: 985-992 - [c2]Peter Meinicke, Matthias Kaper, Florian Hoppe, Manfred Heumann, Helge J. Ritter:
Improving Transfer Rates in Brain Computer Interfacing: A Case Study. NIPS 2002: 1107-1114 - 2001
- [j1]Peter Meinicke, Helge J. Ritter:
Resolution-Based Complexity Control for Gaussian Mixture Models. Neural Comput. 13(2): 453-475 (2001) - [c1]Peter Meinicke, Helge J. Ritter:
Quantizing Density Estimators. NIPS 2001: 825-832 - 2000
- [b1]Peter Meinicke:
Unsupervised learning in a generalized regression framework. Bielefeld University, Germany, 2000, pp. 1-137
Coauthor Index
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