Alexander Schliep Vis

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36EEIvan G. Costa, Alexander Schönhuth, Christoph Hafemeister, Alexander Schliep: Constrained mixture estimation for analysis and robust classification of clinical time series. Bioinformatics 25(12): (2009)
35EEMarcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep: Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN 2008: 2792-2798
34EEMarcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep: Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 2008: 3729-3735
33EEIvan G. Costa, Stefan Roepcke, Christoph Hafemeister, Alexander Schliep: Inferring differentiation pathways from gene expression. ISMB 2008: 156-164
32EEMarcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep: Clustering cancer gene expression data: a comparative study. BMC Bioinformatics 9: (2008)
31EEAlexander Schliep, Roland Krause: Efficient Algorithms for the Computational Design of Optimal Tiling Arrays. IEEE/ACM Trans. Comput. Biology Bioinform. 5(4): 557-567 (2008)
30EEAnthony J. Macula, Alexander Schliep, Morgan A. Bishop, Thomas E. Renz: New, Improved, and Practical k-Stem Sequence Similarity Measures for Probe Design. Journal of Computational Biology 15(5): 525-534 (2008)
29 Claudia Falter, Alexander Schliep, Joachim Selbig, Martin Vingron, Dirk Walther: Proceedings of the German Conference on Bioinformatics, GCB 2007, September 26-28, 2007, Potsdam, Germany. GI 2007
28EEIvan G. Costa, Marcílio Carlos Pereira de Souto, Alexander Schliep: Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. BSB 2007: 81-92
27EEBenjamin Georgi, M. Anne Spence, Pamela Flodman, Alexander Schliep: Mixture Model Based Group Inference in Fused Genotype and Phenotype Data. GfKl 2007: 119-126
26 Alexander Schliep: Detecting functional modules from heterogenous mass data. LWA 2007: 9
25EEBenjamin Georgi, Jörg Schultz, Alexander Schliep: Context-Specific Independence Mixture Modelling for Protein Families. PKDD 2007: 79-90
24EEAlexander Schliep, Roland Krause: Efficient Computational Design of Tiling Arrays Using a Shortest Path Approach. WABI 2007: 383-394
23EEWasinee Rungsarityotin, Roland Krause, Arno Schödl, Alexander Schliep: Identifying protein complexes directly from high-throughput TAP data with Markov random fields. BMC Bioinformatics 8: (2007)
22EEIvan G. Costa, Roland Krause, Lennart Opitz, Alexander Schliep: Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data. BMC Bioinformatics 8(S-10): (2007)
21EEGunnar W. Klau, Sven Rahmann, Alexander Schliep, Martin Vingron, Knut Reinert: Integer linear programming approaches for non-unique probe selection. Discrete Applied Mathematics 155(6-7): 840-856 (2007)
20EELennart Opitz, Alexander Schliep, Stefan Posch: Joint Analysis of In-situ Hybridization and Gene Expression Data. GfKl 2006: 577-584
19EEBenjamin Georgi, Alexander Schliep: Context-specific independence mixture modeling for positional weight matrices. ISMB (Supplement of Bioinformatics) 2006: 166-173
18EEAlexander Schliep, Sven Rahmann: Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic tree. ISMB (Supplement of Bioinformatics) 2006: 424-430
17EEMarcus Weber, Wasinee Rungsarityotin, Alexander Schliep: An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure. GfKl 2005: 103-110
16EEIvan G. Costa, Alexander Schliep: On External Indices for Mixtures: Validating Mixtures of Genes. GfKl 2005: 662-669
15EEIvan G. Costa, Alexander Schönhuth, Alexander Schliep: The Graphical Query Language: a tool for analysis of gene expression time-courses. Bioinformatics 21(10): 2544-2545 (2005)
14EEAlexander Schliep, Ivan G. Costa, Christine Steinhoff, Alexander Schönhuth: Analyzing Gene Expression Time-Courses. IEEE/ACM Trans. Comput. Biology Bioinform. 2(3): 179-193 (2005)
13EEGunnar W. Klau, Sven Rahmann, Alexander Schliep, Martin Vingron, Knut Reinert: Optimal robust non-unique probe selection using Integer Linear Programming. ISMB/ECCB (Supplement of Bioinformatics) 2004: 186-193
12EEAlexander Schliep, Christine Steinhoff, Alexander Schönhuth: Robust inference of groups in gene expression time-courses using mixtures of HMMs. ISMB/ECCB (Supplement of Bioinformatics) 2004: 283-289
11EEAlexander Schliep, David C. Torney, Sven Rahmann: Group Testing With DNA Chips: Generating Designs and Decoding Experiments. CSB 2003: 84-93
10EEAlexander Schliep, Alexander Schönhuth, Christine Steinhoff: Using hidden Markov models to analyze gene expression time course data. ISMB (Supplement of Bioinformatics) 2003: 255-263
9 P. Pipenbacher, Alexander Schliep, Sebastian Schneckener, Alexander Schönhuth, Dietmar Schomburg, Rainer Schrader: ProClust: improved clustering of protein sequences with an extended graph-based approach. ECCB 2002: 182-191
8 Lars Kaderali, Alexander Schliep: Selecting signature oligonucleotides to identify organisms using DNA arrays. Bioinformatics 18(10): 1340-1349 (2002)
7 Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader: Clustering protein sequences-structure prediction by transitive homology. Bioinformatics 17(10): 935-941 (2001)
6EEEva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader: Strongly Connected Components can Predict Protein Structure. Electronic Notes in Discrete Mathematics 8: 10-13 (2001)
5EELars Kaderali, Alexander Schliep: A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature. Electronic Notes in Discrete Mathematics 8: 46-49 (2001)
4 Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader: Clustering Protein Sequences ? Structure Prediction by Transitive Homology. German Conference on Bioinformatics 1999: 181
3 Alexander Schliep: Learning Hidden Markov Model Topology. German Conference on Bioinformatics 1999: 225-226
2 Norman A. Doggett, Jonathan Longmire, Alexander Schliep, David C. Torney: Screening large clone libraries efficiently. German Conference on Bioinformatics 1998
1 Emanuel Knill, Alexander Schliep, David C. Torney: Interpretation of Pooling Experiments Using the Markov Chain Monte Carlo Method. Journal of Computational Biology 3(3): 395-406 (1996)

Coauthor Index

1Daniel S. A. de Araujo [32] [34] [35]
2Morgan A. Bishop [30]
3Eva Bolten [4] [6] [7]
4Ivan G. Costa [14] [15] [16] [22] [28] [32] [33] [34] [35] [36]
5Norman A. Doggett [2]
6Claudia Falter [29]
7Pamela Flodman [27]
8Benjamin Georgi [19] [25] [27]
9Christoph Hafemeister [33] [36]
10Lars Kaderali [5] [8]
11Gunnar W. Klau [13] [21]
12Emanuel Knill [1]
13Roland Krause [22] [23] [24] [31]
14Jonathan Longmire [2]
15Teresa Bernarda Ludermir [32] [34] [35]
16Anthony J. Macula [30]
17Lennart Opitz [20] [22]
18P. Pipenbacher [9]
19Stefan Posch [20]
20Ricardo Bastos Cavalcante Prudêncio [34]
21Sven Rahmann [11] [13] [18] [21]
22Knut Reinert [13] [21]
23Thomas E. Renz [30]
24Stefan Roepcke [33]
25Wasinee Rungsarityotin [17] [23]
26Sebastian Schneckener [4] [6] [7] [9]
27Arno Schödl [23]
28Dietmar Schomburg [4] [6] [7] [9]
29Alexander Schönhuth [9] [10] [12] [14] [15] [36]
30Rainer Schrader [4] [6] [7] [9]
31Jörg Schultz [25]
32Joachim Selbig [29]
33Rodrigo G. F. Soares [34] [35]
34Marcílio Carlos Pereira de Souto [28] [32] [34] [35]
35M. Anne Spence [27]
36Christine Steinhoff [10] [12] [14]
37David C. Torney [1] [2] [11]
38Martin Vingron [13] [21] [29]
39Dirk Walther [29]
40Marcus Weber [17]

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