Search results

Journal Article (7)

  1. 1.
    Journal Article
    Hafemeister, C.; Krause, R.; Schliep, A.: Selecting oligonucleotide probes for whole-genome tiling arrays with a cross-hybridization potential. IEEE/ACM Trans Comput Biol Bioinform 8 (6), pp. 1642 - 52 (2011)
  2. 2.
    Journal Article
    de Souto, M. C.; Costa, I. G.; de Araujo, D. S.; Ludermir, T. B.; Schliep, A.: Clustering cancer gene expression data: a comparative study. BMC Bioinformatics 9, p. 497 - 497 (2008)
  3. 3.
    Journal Article
    Schliep, A.; Krause, R.: Efficient Algorithms for the Computational Design of Optimal Tiling Arrays. IEEE/ACM Transactions on Computational Biology and Bioinformatics 5 (4), pp. 557 - 567 (2008)
  4. 4.
    Journal Article
    Costa, I. G.; Roepcke, S.; Hafemeister, C.; Schliep, A.: Inferring differentiation pathways from gene expression. Bioinformatics 24 (13), pp. i56 - 164 (2008)
  5. 5.
    Journal Article
    Costa, I. G. ..; Roepcke, S.; Schliep, A.: Gene expression trees in lymphoid development. BMC Immunology 8 (25) (2007)
  6. 6.
    Journal Article
    Schliep, A.; Costa, I. G.; Steinhoff, C.; Schonhuth, A.: Analyzing Gene Expression Time-Courses IEEE/ACM Transactions on Computational Biology and Bioinformatics. Special Issue on Machine Learning for Bioinformatics, pp. 179 - 193 (2005)
  7. 7.
    Journal Article
    Costa, I. G.; Schoenhuth, A.; Schliep, A.: The Graphical Query Language: a tool for analysis of gene expression time-courses. Bioinformatics 21 (10), pp. 2544 - 2545 (2005)

Book Chapter (5)

  1. 8.
    Book Chapter
    Georgi, B.; Schultz, J.; Schliep, A.: Context-Specific Independence Mixture Modelling for Protein Families. In: Knowledge Discovery in Databases: PKDD 2007, pp. 79 - 90 (Eds. Kok, J.N.; Koronacki, J.; Lopez de Mantaras, R.; Matwin, S.; Mladenic, D. et al.). Springer, Berlin/Heidelberg (2007)
  2. 9.
    Book Chapter
    Klau, G. W.; Rahmann, S.; Schliep, A.; Vingron, M.; Reinert, K.: Integer linear programming approaches for non-unique probe selection. In: Discrete Mathematics and Data Mining II - DM & DM II, pp. 840 - 856 (Eds. Anthony, M.H.G.; Boros, E.; Hammer, P.L.; Kogan, A.). Elsevier, Amsterdam et al (2007)
  3. 10.
    Book Chapter
    Georgi, B.; Spence, M. A.; Flodman, P.; Schliep, A.: Mixture model based group inference in fused genotype and phenotype data. In: Studies in Classification, Data Analysis, and Knowledge Organization, pp. 1 - 8 (Eds. Bock; .H., H.; Gaul; W.; Vichi et al.). Springer, Heidelberg [et al] (2007)
  4. 11.
    Book Chapter
    Opitz, L.; Schliep, A.; Posch, A.: Analysis of fused in-situ hybridization and gene expression data. In: Advances in Data Analysis, pp. 577 - 584. Springer, Berlin/Heidelberg (2007)
  5. 12.
    Book Chapter
    Schliep, A.; Krause, R.: Efficient Computational Design of Tiling Arrays Using a Shortest Path Approach. In: Algorithms in Bioinformatics, pp. 383 - 394 (Ed. Raffaele Giancarlo, S. H.). Springer, Berlin / Heidelberg (2007)

Proceedings (4)

  1. 13.
    Proceedings
    Comparative study on normalization procedures for cluster analysis of gene expression datasets. (IEEE World Congress on Computational Intelligence, Hong Kong, June 01, 2008 - June 08, 2008. International Joint Conference on Neural Networks, Hong Kong), (2008), Hong Kong (2008)
  2. 14.
    Proceedings
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data. Neural Information Processing Systems (NIPS) workshop on New Problems and Methods in Computational Biology, Whistler, Canada, December 08, 2006. BioMed Central Ltd., Whistler, Canada (2007), S1-S8 pp.
  3. 15.
    Proceedings
    Model-based clustering with Hidden Markov Models and its application to financial times-series data. GfKI 2002 - 26th Annual Conference of the Gesellschaft für Klassifikation, Mannheim, July 22, 2002 - July 24, 2002. /, / (2003), / pp.
  4. 16.
    Proceedings
    Model-based clustering with Hidden Markov Models and its application to financial times series data. GfKI 2002 - 26th Annual Conference of the Gesellschaft für Klassifikation, Mannheim, July 22, 2002 - July 24, 2002. Springer, Berlin [et al] (2003), 693 pp.

Conference Paper (6)

  1. 17.
    Conference Paper
    de Souto, M. C.P.; Prudencio, R. B.C.; Soares, R. G.F.; de Araujo, D. S.A.; Costa, I.; Ludermir, T. ..; Schliep, A.: Ranking and selecting clustering algorithms using a meta-learning approach. In: Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on, pp. 3729 - 3735. (IEEE World Congress on Computational Intelligence, Hong Kong, June 01, 2008 - June 08, 2008. (2008)
  2. 18.
    Conference Paper
    Georgi, B.; Schliep, A.: Partially-supervised context-specific independence mixture modeling. In: ECML (Ed. MINING, P. O. T. S. I. W. O. M.-R. R. D.). Data mining in functional genomics and proteomics : Current trends and future directions, Warsaw, Poland, September 17, 2007. Springer, Berlin/Heidelberg (2007)
  3. 19.
    Conference Paper
    Klau, G. W.; Rahmann, S.; Schliep, A.; Vingron, M.; Reinert, K.: Optimal robust non-unique probe selection using Integer Linear Programming. Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology, Glasgow, UK, July 31, 2004 - August 04, 2004. Bioinformatics 20 (Suppl.), pp. i186 - i193 (2004)
  4. 20.
    Conference Paper
    Schliep, A.; Steinhoff, C.; Schoenhuth, A.: Robust inference of groups in gene expression time-courses using mixtures of HMMs. Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology, Glasgow, UK, July 31, 2004 - August 04, 2004. Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004 Glasgow, UK July 31-August 4, 2004, pp. i283 - i289 (2004)
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