Dominik Lutter

Postdoctoral fellow
Email me
Tel.: +49 (0) 89 3187 4217
Research
- Machine learning and blind source separation techniques in large scale gene expression data
- Prediction and analysis of global gene regulatory networks
- microRNAs in stem cell differentiation
- Functional conservation of microRNAs
Publications
- E. W. Lang, R. Schachtner, D. Lutter, D. Herold, A. Kodewitz, F. Blöchl, F. J. Theis, I. R. Keck, J. M. Górriz Sáez, P. Gómez Vilda, A. M. Tomé. Exploratory Matrix Factorization Techniques for Large Scale Biomedical Data Sets. Book Chapter. Recent Advances in Biomedical Signal Processing, Volume 1. Issue 1, Chapter 2, 2011 eBook
- S. Sass, S. Dietmann, U. Burk, S. Brabletz, D. Lutter, A. Kowarsch, K.F. Mayer, T. Brabletz, A. Ruepp, F.J. Theis and Y. Wang. MicroRNAs coordinately regulate protein complexes. BMC Systems Biology, 2011, 5:136. BioMed
- D. Lutter*, P. Bruns* and FJ. Theis. An ensemble approach for inferring semi-quantitative regulatory dynamics for the differentiation of mouse embryonic stem cells using prior knowledge. Advances in Systems Biology, Igor I. Goryanin and Andrew B. Goryachev. Advances in Experimental Medicine and Biology; Volume 736, 2012, DOI*equal contribution
- S. Araki, F. Theis, G. Nolte, D. Lutter, A. Ozerov, V. Gowreesunker, H. Sawada and N. Duong. The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Biomedical source separation. In Proc. ICA 2010, volume 6365 of LNCS, pages 123-130. Springer, St. Malo, France, 2010.
[ .pdf ] - S. Araki, A. Ozerov, V. Gowreesunker, H. Sawada, F. Theis, G. Nolte, D. Lutter and N. Duong. The 2010 Signal Separation Evaluation Campaign (SiSEC2010): Audio source separation. In Proc. ICA 2010, volume 6365 of LNCS, pages 114-122. Springer, St. Malo, France, 2010.
[ .pdf ]
- Lutter D, Marr C, Krumsiek J, Lang E W. Theis FJ. Intronic microRNAs support their host genes by mediating synergistic and antagonistic regulatory effects. BMC Genomics 2010, 11:224. PubMed]
- Antonov A V, Dietmann S, Wong P, Lutter D, Mewes HW. GeneSet2miRNA: finding the signature of cooperative miRNA activities in the gene lists. Nucleic Acids Research, 2009, 1-6. PubMed]
- Lutter D, Langmann Th, Ugocsai P, Moehle Ch, Seibold E, Splettstoesser W D, Gruber P, Lang E W, Schmitz G. Analyzing Time-Dependent Microarray Data using Independent Component Analysis Derived Expression Modes from Human Macrophages infected with F. tularensis holartica. J Biomed Inform. 2009 Aug;42(4):605-11. PubMed]
- Herold D, Lutter D, Schachtner R, Tome AM Schmitz G, Lang E W. Comparision of unsupervised gene selection methods. Conf Proc IEEE Eng Med Biol Soc. 2008. 2008:5212-5. [PubMed]
- Schachtner R, Lutter D, Knomüller P, Thome A M, Theis F J, Schmitz G, Stetter M, Gomez-Vilda P, Lang E W. Knowledge-based gene expression classification via matrix factorization. Bioinformatics. 2008. 24(15):1688-97 [PubMed]
- Lutter D, Ugocsai P, Grandl M, Orso E, Theis F, Lang E, Schmitz G. Analyzing M-CSF dependent monocyte/macrophage differentiation: Expression modes and meta-modes derived from an independent component analysis. BMC Bioinformatics. 2008. 9(1): 100. [PubMed]
- Schachtner R, Lutter D, Stadlthanner K, Lang E W, Schmitz G, Tome A M, Gomez-Vilda P.Routes to identify marker genes for microarray classification. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4617-20 [PubMed]
- Schachtner R, Lutter D, Theis F J, Lang, E W, Tome A M, Schmitz G. Exploiting Blind Matrix Decomposition Techniques to Identify Diagnostic Marker Genes. LECTURE NOTES IN COMPUTER SCIENCE. 2007. 4669: 80-89
- Lutter D, Stadlthanner K, Theis F J, Lang E W, Thome A M, Becker B, Vogt T. Analyzing gene expression profiles with ICA. In Proc. of Int. Conf. Biomedical Engineering (BioMED). Innsbruck, Austria, 2006.
Curriculum Vitae
Dominik Lutter studied biology at the University of Regensburg. During his studies he focused on botany, zoology and bioinformatics. He wrote his diploma thesis about the "analysis of microarray data using independent component analysis" and graduated in 2005 at the "Computational Intelligence and Machine Learning Group" of Prof. Elmar W. Lang. In 2005 he started his PhD at the 'Institut für Klinische Chemie und Laboratoriumsmedizin' at the Universitätsklinikum Regensburg. Between 2006 and 2008 he had several visits at the Group of Prof. Pedro Gomez-Vilda at the Universitdad Politecnica in Madrid. From 2007 he is a member of the CMB group and recieved his PhD degree from the University of Regensburg in 2009 about the identification of regulatory networks using statistical and information theoretic methods on the mammalian transcriptome. Currently he is focussing on reconstructing regulatory networks and the role of microRNAs in stem cell differentiation.

