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Publications of Author

1. Alexander Schliep, David C. Torney, Sven Rahmann
   Group Testing With DNA Chips: Generating Designs and Decoding Experiments. [Citation Graph (0, 0)][DBLP]
   CSB, 2003, pp:84-93 [Conf]
   
2. P. Pipenbacher, Alexander Schliep, Sebastian Schneckener, Alexander Schönhuth, Dietmar Schomburg, Rainer Schrader
   ProClust: improved clustering of protein sequences with an extended graph-based approach. [Citation Graph (0, 0)][DBLP]
   ECCB, 2002, pp:182-191 [Conf]
   
3. Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader
   Clustering Protein Sequences ? Structure Prediction by Transitive Homology. [Citation Graph (0, 0)][DBLP]
   German Conference on Bioinformatics, 1999, pp:181- [Conf]
   
4. Norman A. Doggett, Jonathan Longmire, Alexander Schliep, David C. Torney
   Screening large clone libraries efficiently. [Citation Graph (0, 0)][DBLP]
   German Conference on Bioinformatics, 1998, pp:- [Conf]
   
5. Alexander Schliep
   Learning Hidden Markov Model Topology. [Citation Graph (0, 0)][DBLP]
   German Conference on Bioinformatics, 1999, pp:225-226 [Conf]
   
6. Benjamin Georgi, Alexander Schliep
   Context-specific independence mixture modeling for positional weight matrices. [Citation Graph (0, 0)][DBLP]
   ISMB (Supplement of Bioinformatics), 2006, pp:166-173 [Conf]
   
7. Gunnar W. Klau, Sven Rahmann, Alexander Schliep, Martin Vingron, Knut Reinert
   Optimal robust non-unique probe selection using Integer Linear Programming. [Citation Graph (0, 0)][DBLP]
   ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:186-193 [Conf]
   
8. Alexander Schliep, Sven Rahmann
   Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic tree. [Citation Graph (0, 0)][DBLP]
   ISMB (Supplement of Bioinformatics), 2006, pp:424-430 [Conf]
   
9. Alexander Schliep, Alexander Schönhuth, Christine Steinhoff
   Using hidden Markov models to analyze gene expression time course data. [Citation Graph (0, 0)][DBLP]
   ISMB (Supplement of Bioinformatics), 2003, pp:255-263 [Conf]
   
10. Alexander Schliep, Christine Steinhoff, Alexander Schönhuth
    Robust inference of groups in gene expression time-courses using mixtures of HMMs. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:283-289 [Conf]
    
11. Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader
    Clustering protein sequences-structure prediction by transitive homology. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2001, v:17, n:10, pp:935-941 [Journal]
    
12. Ivan G. Costa, Alexander Schönhuth, Alexander Schliep
    The Graphical Query Language: a tool for analysis of gene expression time-courses. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:10, pp:2544-2545 [Journal]
    
13. Lars Kaderali, Alexander Schliep
    Selecting signature oligonucleotides to identify organisms using DNA arrays. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:10, pp:1340-1349 [Journal]
    
14. Gunnar W. Klau, Sven Rahmann, Alexander Schliep, Martin Vingron, Knut Reinert
    Integer linear programming approaches for non-unique probe selection. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 2007, v:155, n:6-7, pp:840-856 [Journal]
    
15. Emanuel Knill, Alexander Schliep, David C. Torney
    Interpretation of Pooling Experiments Using the Markov Chain Monte Carlo Method. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Biology, 1996, v:3, n:3, pp:395-406 [Journal]
    
16. Alexander Schliep, Ivan G. Costa, Christine Steinhoff, Alexander Schönhuth
    Analyzing Gene Expression Time-Courses. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:179-193 [Journal]
    
17. Alexander Schliep
    Detecting functional modules from heterogenous mass data. [Citation Graph (0, 0)][DBLP]
    LWA, 2007, pp:9- [Conf]
    
18. Benjamin Georgi, Jörg Schultz, Alexander Schliep
    Context-Specific Independence Mixture Modelling for Protein Families. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:79-90 [Conf]
    
19. Alexander Schliep, Roland Krause
    Efficient Computational Design of Tiling Arrays Using a Shortest Path Approach. [Citation Graph (0, 0)][DBLP]
    WABI, 2007, pp:383-394 [Conf]
    
20. Ivan G. Costa, Marcílio Carlos Pereira de Souto, Alexander Schliep
    Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information. [Citation Graph (0, 0)][DBLP]
    BSB, 2007, pp:81-92 [Conf]
    
21. 
    Ranking and selecting clustering algorithms using a meta-learning approach. [Citation Graph (, )][DBLP]
    
    
22. 
    Comparative study on normalization procedures for cluster analysis of gene expression datasets. [Citation Graph (, )][DBLP]
    
    
23. 
    Inferring differentiation pathways from gene expression. [Citation Graph (, )][DBLP]
    
    
24. 
    Joint Analysis of In-situ Hybridization and Gene Expression Data. [Citation Graph (, )][DBLP]
    
    
25. 
    An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure. [Citation Graph (, )][DBLP]
    
    
26. 
    On External Indices for Mixtures: Validating Mixtures of Genes. [Citation Graph (, )][DBLP]
    
    
27. 
    Mixture Model Based Group Inference in Fused Genotype and Phenotype Data. [Citation Graph (, )][DBLP]
    
    
28. 
    Constrained mixture estimation for analysis and robust classification of clinical time series. [Citation Graph (, )][DBLP]
    
    
29. 
    Identifying protein complexes directly from high-throughput TAP data with Markov random fields. [Citation Graph (, )][DBLP]
    
    
30. 
    Clustering cancer gene expression data: a comparative study. [Citation Graph (, )][DBLP]
    
    
31. 
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data. [Citation Graph (, )][DBLP]
    
    
32. 
    PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data. [Citation Graph (, )][DBLP]