Publikationen von A. Schliep

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), S. 1642 - 52 (2011)

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, S. 497 - 497 (2008)

Schliep, A.; Krause, R.: Efficient Algorithms for the Computational Design of Optimal Tiling Arrays. IEEE/ACM Transactions on Computational Biology and Bioinformatics 5 (4), S. 557 - 567 (2008)

Costa, I. G.; Roepcke, S.; Hafemeister, C.; Schliep, A.: Inferring differentiation pathways from gene expression. Bioinformatics 24 (13), S. i56 - 164 (2008)

Costa, I. G. ..; Roepcke, S.; Schliep, A.: Gene expression trees in lymphoid development. BMC Immunology 8 (25) (2007)

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, S. 179 - 193 (2005)

Costa, I. G.; Schoenhuth, A.; Schliep, A.: The Graphical Query Language: a tool for analysis of gene expression time-courses. Bioinformatics 21 (10), S. 2544 - 2545 (2005)

Georgi, B.; Schultz, J.; Schliep, A.: Context-Specific Independence Mixture Modelling for Protein Families. In: Knowledge Discovery in Databases: PKDD 2007, S. 79 - 90 (Hg. Kok, J.N.; Koronacki, J.; Lopez de Mantaras, R.; Matwin, S.; Mladenic, D. et al.). Springer, Berlin/Heidelberg (2007)

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, S. 840 - 856 (Hg. Anthony, M.H.G.; Boros, E.; Hammer, P.L.; Kogan, A.). Elsevier, Amsterdam et al (2007)

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, S. 1 - 8 (Hg. Bock; .H., H.; Gaul; W.; Vichi et al.). Springer, Heidelberg [et al] (2007)

Opitz, L.; Schliep, A.; Posch, A.: Analysis of fused in-situ hybridization and gene expression data. In: Advances in Data Analysis, S. 577 - 584. Springer, Berlin/Heidelberg (2007)

Schliep, A.; Krause, R.: Efficient Computational Design of Tiling Arrays Using a Shortest Path Approach. In: Algorithms in Bioinformatics, S. 383 - 394 (Hg. Raffaele Giancarlo, S. H.). Springer, Berlin / Heidelberg (2007)

Comparative study on normalization procedures for cluster analysis of gene expression datasets. (IEEE World Congress on Computational Intelligence, Hong Kong, 01. Juni 2008 - 08. Juni 2008. International Joint Conference on Neural Networks, Hong Kong), (2008), Hong Kong (2008)

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, 08. Dezember 2006. BioMed Central Ltd., Whistler, Canada (2007), S1-S8 S.

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, 22. Juli 2002 - 24. Juli 2002. /, / (2003), / S.

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, 22. Juli 2002 - 24. Juli 2002. Springer, Berlin [et al] (2003), 693 S.

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, S. 3729 - 3735. (IEEE World Congress on Computational Intelligence, Hong Kong, 01. Juni 2008 - 08. Juni 2008. (2008)

Georgi, B.; Schliep, A.: Partially-supervised context-specific independence mixture modeling. In: ECML (Hg. 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, 17. September 2007. Springer, Berlin/Heidelberg (2007)

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, 31. Juli 2004 - 04. August 2004. Bioinformatics 20 (Suppl.), S. i186 - i193 (2004)

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, 31. Juli 2004 - 04. August 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, S. i283 - i289 (2004)