computational
modeling in
biology

Font size »A . A+ . A++ .

Dominik Lutter

Postdoctoral fellow


Tel.: +49 (0) 89 3187 4217
Room: 136a
 

Research

  • Machine learning and blind source separation techniques in large scale gene expression data
  • Prediction and analysis of global gene regulatory networks
  • microRNA influenced stem cell development
  • Functional conservation of microRNAs

 

 

Publications

  • 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
  • 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. Currently he is working on his PhD about the usage of statistical and information theoretic methods on the mammalian transcriptome focussing on the identification of regulatory networks including non-coding RNA.