Publications - (Bi)Clustering

[1 — bzfz2008a]

S. Bleuler, P. Zimmermann, M. Friberg, and E. Zitzler. Discovering Trends in Gene Expression Data Using a Hybrid Evolutionary Algorithm. Algorithmic Operations Research, 3(2), 2008. (bibtex)

[2 — bleu2007a]

S. Bleuler. Search Heuristics for Module Identification from Biological High-Throughput Data. PhD thesis, ETH Zurich, Switzerland, 2007. (PDF) (bibtex) (online access)

[3 — bz2007b]

S. Bleuler and E. Zitzler. Discrimination of Metabolic Flux Profiles Using a Hybrid Evolutionary Algorithm. In Genetic and Evolutionary Computation Conference (GECCO 2007), pages 354–360, 2007. (PDF) (bibtex) (suppl. material) Best paper award at GECCO '07 in 'Biological Applications Track'

[4 — sbbw2007a]

D. Schöner, S. Barkow, S. Bleuler, A. Wille, P. Zimmermann, P. Bühlmann, W. Gruissem, and E. Zitzler. Network Analysis of Systems Elements. In S. Baginsky and A. R. Fernie, editors, Plant Systems Biology, pages 331–351. Birkhäuser, Basel, Switzerland, 2007. (bibtex) (online access)

[5 — cbz2006a]

M. Calonder, S. Bleuler, and E. Zitzler. Module Identification from Heterogeneous Biological Data Using Multiobjective Evolutionary Algorithms. In T. P. Runarsson et al., editors, Conference on Parallel Problem Solving from Nature (PPSN IX), volume 4193 of LNCS, pages 573–582. Springer, 2006. (PDF) (bibtex) (online access) (suppl. material)

[6 — bbpz2006a]

S. Barkow, S. Bleuler, A. Prelic, P. Zimmermann, and E. Zitzler. BicAT: a Biclustering Analysis Toolbox. Bioinformatics, 22(10):1282–1283, 2006. (bibtex) (online access) (suppl. material)

[7 — pbzw2006a]

A. Prelic, S. Bleuler, P. Zimmermann, A. Wille, P. Bühlmann, W. Gruissem, L. Hennig, L. Thiele, and E. Zitzler. A Systematic Comparison and Evaluation of Biclustering Methods for Gene Expression Data. Bioinformatics, 22(9):1122–1129, 2006. (bibtex) (online access) (suppl. material)

[8 — pbzw2006b]

A. Prelic, S. Bleuler, P. Zimmermann, A. Wille, P. Bühlmann, W. Gruissem, L. Hennig, L. Thiele, and E. Zitzler. Comparison of Biclustering Methods: A Systematic Comparison and Evaluation of Biclustering Methods for Gene Expression Data. TIK Report 227, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, February 2006. (PDF) (bibtex)

[9 — bzfw2006a]

S. Bleuler, P. Zimmermann, M. Friberg, A. Wille, S. Barkow, D. Brockhoff, D. Schöner, L. Hennig, P. Bühlmann, W. Gruissem, L. Thiele, and E. Zitzler. Cluster Analysis of Multiple Time Course Data Sets. TIK Report 241, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, 2006. (bibtex)

[10 — bz2005a]

S. Bleuler and E. Zitzler. Order Preserving Clustering over Multiple Time Course Experiments. In EvoWorkshops 2005, volume 3449 of LNCS, pages 33–43. Springer, 2005. (PDF) (bibtex) (online access)

[11 — bpz2004a]

S. Bleuler, A. Prelic, and E. Zitzler. An EA Framework for Biclustering of Gene Expression Data. In Congress on Evolutionary Computation (CEC 2004), pages 166–173, Piscataway, NJ, 2004. IEEE. (PDF) (bibtex)