Dominik Lutter

According to our database1, Dominik Lutter authored at least 14 papers between 2007 and 2013.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2013
Sharpening of expression domains induced by transcription and microRNA regulation within a spatio-temporal model of mid-hindbrain boundary formation.
BMC Syst. Biol., 2013

2012
The signal separation evaluation campaign (2007-2010): Achievements and remaining challenges.
Signal Process., 2012

The 2011 Signal Separation Evaluation Campaign (SiSEC2011): - Biomedical Data Analysis -.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011
MicroRNAs coordinately regulate protein complexes.
BMC Syst. Biol., 2011

2010
The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
GeneSet2miRNA: finding the signature of cooperative miRNA activities in the gene lists.
Nucleic Acids Res., 2009

Analyzing time-dependent microarray data using independent component analysis derived expression modes from human macrophages infected with F. tularensis holartica.
J. Biomed. Informatics, 2009

2008
Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis.
BMC Bioinform., 2008

Knowledge-based gene expression classification via matrix factorization.
Bioinform., 2008

A Matrix Factorization Classifier for Knowledge-Based Microarray Analysis.
Proceedings of the 2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, 2008

2007
Sparse Nonnegative Matrix Factorization with Genetic Algorithms for Microarray Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007

Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes.
Proceedings of the Artificial Neural Networks, 2007

Blind Matrix Decomposition Techniques to Identify Marker Genes from Microarrays.
Proceedings of the Independent Component Analysis and Signal Separation, 2007


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