Peter Meinicke

	2009
23		Alexander Kaever, Thomas Lingner, Kirstin Feussner, Cornelia Göbel, Ivo Feussner, Peter Meinicke: MarVis: a tool for clustering and visualization of metabolic biomarkers. BMC Bioinformatics 10: (2009)
22		Katharina J. Hoff, Thomas Lingner, Peter Meinicke, Maike Tech: Orphelia: predicting genes in metagenomic sequencing reads. Nucleic Acids Research 37(Web-Server-Issue): 101-105 (2009)
	2008
21		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
20		Peter Meinicke, Thomas Lingner, Alexander Kaever, Kirstin Feussner, Cornelia Göbel, Ivo Feussner, Petr Karlovsky, Burkhard Morgenstern: Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps. Algorithms for Molecular Biology 3: (2008)
19		Katharina J. Hoff, Maike Tech, Thomas Lingner, Rolf Daniel, Burkhard Morgenstern, Peter Meinicke: Gene prediction in metagenomic fragments: A large scale machine learning approach. BMC Bioinformatics 9: (2008)
18		Thomas Lingner, Peter Meinicke: Word correlation matrices for protein sequence analysis and remote homology detection. BMC Bioinformatics 9: (2008)
	2007
17		Christian Igel, Tobias Glasmachers, Britta Mersch, Nico Pfeifer, Peter Meinicke: Gradient-Based Optimization of Kernel-Target Alignment for Sequence Kernels Applied to Bacterial Gene Start Detection. IEEE/ACM Trans. Comput. Biology Bioinform. 4(2): 216-226 (2007)
16		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)
	2006
15		Britta Mersch, Tobias Glasmachers, Peter Meinicke, Christian Igel: Evolutionary Optimization of Sequence Kernels for Detection of Bacterial Gene Starts. ICANN (2) 2006: 827-836
14		Peter Meinicke, Thomas Brodag, Wolfgang Florian Fricke, Stephan Waack: P-value based visualization of codon usage data. Algorithms for Molecular Biology 1: (2006)
13		Maike Tech, Peter Meinicke: An unsupervised classification scheme for improving predictions of prokaryotic TIS. BMC Bioinformatics 7: 121 (2006)
12		Stephan Waack, Oliver Keller, Roman Asper, Thomas Brodag, Carsten Damm, Wolfgang Florian Fricke, Katharina Surovcik, Peter Meinicke, Rainer Merkl: Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models. BMC Bioinformatics 7: 142 (2006)
11		Thomas Lingner, Peter Meinicke: Remote homology detection based on oligomer distances. Bioinformatics 22(18): 2224-2231 (2006)
10		Maike Tech, Burkhard Morgenstern, Peter Meinicke: TICO: a tool for postprocessing the predictions of prokaryotic translation initiation sites. Nucleic Acids Research 34(Web-Server-Issue): 588-590 (2006)
	2005
9		Maike Tech, Nico Pfeifer, Burkhard Morgenstern, Peter Meinicke: TICO: a tool for improving predictions of prokaryotic translation initiation sites. Bioinformatics 21(17): 3568-3569 (2005)
8		Peter Meinicke, Stefan Klanke, Roland Memisevic, Helge Ritter: Principal Surfaces from Unsupervised Kernel Regression. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1379-1391 (2005)
	2004
7		Peter Meinicke, Maike Tech, Burkhard Morgenstern, Rainer Merkl: Oligo kernels for datamining on biological sequences: a case study on prokaryotic translation initiation sites. BMC Bioinformatics 5: 169 (2004)
6		Peter Meinicke, Thomas Hermann, Holger Bekel, H. M. Müller, S. Weiss, Helge Ritter: Identification of discriminative features in the EEG. Intell. Data Anal. 8(1): 97-107 (2004)
	2002
5		Peter Meinicke, Thorsten Twellmann, Helge Ritter: Maximum Contrast Classifiers. ICANN 2002: 745-750
4		Peter Meinicke, Matthias Kaper, Florian Hoppe, Manfred Heumann, Helge Ritter: Improving Transfer Rates in Brain Computer Interfacing: A Case Study. NIPS 2002: 1107-1114
3		Peter Meinicke, Thorsten Twellmann, Helge Ritter: Discriminative Densities from Maximum Contrast Estimation. NIPS 2002: 985-992
	2001
2		Peter Meinicke, Helge Ritter: Quantizing Density Estimators. NIPS 2001: 825-832
1		Peter Meinicke, Helge Ritter: Resolution-Based Complexity Control for Gaussian Mixture Models. Neural Computation 13(2): 453-475 (2001)

Coauthor Index

1	Roman Asper	[12]
2	Holger Bekel	[6]
3	Thomas Brodag	[12] [14]
4	Carsten Damm	[12]
5	Rolf Daniel	[19]
6	Ivo Feussner	[20] [23]
7	Kirstin Feussner	[20] [23]
8	Wolfgang Florian Fricke	[12] [14]
9	Tobias Glasmachers	[15] [16] [17]
10	Cornelia Göbel	[20] [23]
11	Thomas Hermann	[6]
12	Manfred Heumann	[4]
13	Katharina J. Hoff	[19] [22]
14	Florian Hoppe	[4]
15	Christian Igel	[15] [16] [17]
16	Alexander Kaever	[20] [23]
17	Matthias Kaper	[4]
18	Petr Karlovsky	[20]
19	Oliver Keller	[12]
20	Stefan Klanke	[8]
21	Thomas Lingner	[11] [18] [19] [20] [21] [22] [23]
22	Roland Memisevic	[8]
23	Rainer Merkl	[7] [12]
24	Britta Mersch	[15] [16] [17]
25	Burkhard Morgenstern	[7] [9] [10] [19] [20]
26	H. M. Müller	[6]
27	Nico Pfeifer	[9] [17]
28	Helge Ritter	[1] [2] [3] [4] [5] [6] [8]
29	Katharina Surovcik	[12]
30	Maike Tech	[7] [9] [10] [13] [19] [22]
31	Thorsten Twellmann	[3] [5]
32	Stephan Waack	[12] [14]
33	S. Weiss	[6]

Colors in the list of coauthors