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ORCIDAlexander Schliep
Person information
- affiliation: University of Gothenburg, Compute Science and Engineering Department, Sweden
- affiliation (former): Rutgers University, Department of Computer Science, New Brunswick, NJ, USA
- affiliation (former): Max Planck Institute for Molecular Genetics, Berlin, Germany
- affiliation (former, PhD 2001): University of Cologne, Center for Applied Computer Science (ZAIK/ZPR), Germany
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2020 – today
- 2023
[c31]Simon Johansson, Ola Engkvist, Morteza Haghir Chehreghani, Alexander Schliep:
Diverse Data Expansion with Semi-Supervised k-Determinantal Point Processes. IEEE Big Data 2023: 5260-5265- 2021
- [j31]Joel Gustafsson
, Peter Norberg, Jan R. Qvick-Wester, Alexander Schliep:
Fast parallel construction of variable-length Markov chains. BMC Bioinform. 22(1): 487 (2021) - [j30]Shirin Tavara, Alexander Schliep:
Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM. PeerJ Comput. Sci. 7: e397 (2021) - [c30]Shirin Tavara, Alexander Schliep, Debabrota Basu:
Federated Learning of Oligonucleotide Drug Molecule Thermodynamics with Differentially Private ADMM-Based SVM. PKDD/ECML Workshops (2) 2021: 459-467 - 2020
- [j29]John Martinsson, Alexander Schliep, Björn Eliasson, Olof Mogren:
Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks. J. Heal. Informatics Res. 4(1): 1-18 (2020)
2010 – 2019
- 2019
- [j28]John Wiedenhoeft, Alex Cagan, Rimma Kozhemyakina, Rimma Gulevich, Alexander Schliep:
Bayesian localization of CNV candidates in WGS data within minutes. Algorithms Mol. Biol. 14(1): 20:1-20:16 (2019) - [c29]Laiz Heckmann Barbalho de Figueroa, Rema Salman, Jennifer Horkoff, Soni Chauhan, Marcela Davila, Francisco Gomes de Oliveira Neto, Alexander Schliep:
A Modeling Approach for Bioinformatics Workflows. PoEM 2019: 167-183 - [i5]Andreas Ekström, Christian Forssén, Christos Dimitrakakis, Devdatt P. Dubhashi, Håkan T. Johansson, Azam Sheikh Muhammad, Hans Salomonsson, Alexander Schliep:
Bayesian optimization in ab initio nuclear physics. CoRR abs/1902.00941 (2019) - 2018
- [c28]John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren:
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks. KDH@IJCAI 2018: 64-68 - [c27]Edvin Listo Zec, Nasser Mohammadiha, Alexander Schliep:
Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs. ITSC 2018: 1331-1336 - [c26]John Martinsson, Nasser Mohammadiha, Alexander Schliep:
Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models. ITSC 2018: 3698-3705 - [c25]Shirin Tavara, Alexander Schliep:
Effect of Network Topology on the Performance of ADMM-Based SVMs. SBAC-PAD 2018: 388-393 - [c24]Peter Damaschke, Alexander Schliep:
An Optimization Problem Related to Bloom Filters with Bit Patterns. SOFSEM 2018: 525-538 - 2016
- [j27]Ivani de Oliveira Negrão Lopes, Alexander Schliep, André Carlos Ponce de Leon Ferreira de Carvalho:
Automatic learning of pre-miRNAs from different species. BMC Bioinform. 17: 224 (2016) - [j26]John Wiedenhoeft, Eric Brugel, Alexander Schliep:
Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression. PLoS Comput. Biol. 12(5) (2016) - [c23]John Wiedenhoeft, Eric Brugel, Alexander Schliep:
Fast Bayesian Inference of Copy Number Variants Using Hidden Markov Models with Wavelet Compression. RECOMB 2016: 263 - 2014
- [j25]Rajat Shuvro Roy, Debashish Bhattacharya, Alexander Schliep:
Turtle: Identifying frequent k-mers with cache-efficient algorithms. Bioinform. 30(14): 1950-1957 (2014) - [j24]Ivani de Oliveira Negrão Lopes, Alexander Schliep, André Carlos Ponce de Leon Ferreira de Carvalho:
The discriminant power of RNA features for pre-miRNA recognition. BMC Bioinform. 15: 124 (2014) - [i4]Md Pavel Mahmud, Alexander Schliep:
TreQ-CG: Clustering Accelerates High-Throughput Sequencing Read Mapping. CoRR abs/1404.2872 (2014) - 2013
- [i3]Rajat Shuvro Roy, Debashish Bhattacharya, Alexander Schliep:
Turtle: Identifying frequent k-mers with cache-efficient algorithms. CoRR abs/1305.1861 (2013) - 2012
- [j23]Md Pavel Mahmud, John Wiedenhoeft, Alexander Schliep:
Indel-tolerant read mapping with trinucleotide frequencies using cache-oblivious kd-trees. Bioinform. 28(18): 325-332 (2012) - [j22]Tobias Marschall, Ivan G. Costa, Stefan Canzar, Markus Bauer, Gunnar W. Klau, Alexander Schliep, Alexander Schönhuth:
CLEVER: clique-enumerating variant finder. Bioinform. 28(22): 2875-2882 (2012) - [j21]Rajat Shuvro Roy, Kevin C. Chen, Anirvan M. Sengupta, Alexander Schliep:
SLIQ: Simple Linear Inequalities for Efficient Contig Scaffolding. J. Comput. Biol. 19(10): 1162-1175 (2012) - 2011
- [j20]Ruben Schilling, Ivan G. Costa, Alexander Schliep:
pGQL: A probabilistic graphical query language for gene expression time courses. BioData Min. 4: 9 (2011) - [j19]Christoph Hafemeister, Ivan G. Costa, Alexander Schönhuth, Alexander Schliep:
Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions. Bioinform. 27(7): 946-952 (2011) - [j18]Michael Seifert, Marc Strickert, Alexander Schliep, Ivo Grosse:
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models. Bioinform. 27(12): 1645-1652 (2011) - [j17]Md Pavel Mahmud, Alexander Schliep:
Fast MCMC Sampling for Hidden Markov Models to Determine Copy Number Variations. BMC Bioinform. 12: 428 (2011) - [j16]Christoph Hafemeister, Roland Krause, Alexander Schliep:
Selecting Oligonucleotide Probes for Whole-Genome Tiling Arrays with a Cross-Hybridization Potential. IEEE ACM Trans. Comput. Biol. Bioinform. 8(6): 1642-1652 (2011) - [c22]Md Pavel Mahmud, Alexander Schliep:
Speeding Up Bayesian HMM by the Four Russians Method. WABI 2011: 188-200 - [i2]Rajat Shuvro Roy, Kevin C. Chen, Anirvan M. Sengupta, Alexander Schliep:
SLIQ: Simple Linear Inequalities for Efficient Contig Scaffolding. CoRR abs/1111.1426 (2011) - 2010
- [j15]Benjamin Georgi, Ivan Gesteira Costa, Alexander Schliep:
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data. BMC Bioinform. 11: 9 (2010)
2000 – 2009
- 2009
- [j14]Ivan G. Costa, Alexander Schönhuth, Christoph Hafemeister, Alexander Schliep:
Constrained mixture estimation for analysis and robust classification of clinical time series. Bioinform. 25(12) (2009) - 2008
- [j13]Marcílio 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 Bioinform. 9 (2008) - [j12]Anthony J. Macula, Alexander Schliep, Morgan A. Bishop, Thomas E. Renz:
New, Improved, and Practical k-Stem Sequence Similarity Measures for Probe Design. J. Comput. Biol. 15(5): 525-534 (2008) - [j11]Alexander Schliep, Roland Krause:
Efficient Algorithms for the Computational Design of Optimal Tiling Arrays. IEEE ACM Trans. Comput. Biol. Bioinform. 5(4): 557-567 (2008) - [c21]Marcílio 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 - [c20]Marcílio 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 - [c19]Ivan G. Costa, Stefan Roepcke, Christoph Hafemeister, Alexander Schliep:
Inferring differentiation pathways from gene expression. ISMB 2008: 156-164 - [e2]Alexander Schliep, Amin Shokrollahi, Nicolas Thierry-Mieg:
Group Testing in the Life Sciences, 20.07. - 25.07.2008. Dagstuhl Seminar Proceedings 08301, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2008 [contents] - [i1]Alexander Schliep, Nicolas Thierry-Mieg, Amin Shokrollahi:
08301 Final Report - Group Testing in the Life Sciences. Group Testing in the Life Sciences 2008 - 2007
- [j10]Ivan 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 Bioinform. 8(S-10) (2007) - [j9]Wasinee Rungsarityotin, Roland Krause, Arno Schödl, Alexander Schliep:
Identifying protein complexes directly from high-throughput TAP data with Markov random fields. BMC Bioinform. 8 (2007) - [j8]Gunnar W. Klau, Sven Rahmann, Alexander Schliep, Martin Vingron, Knut Reinert:
Integer linear programming approaches for non-unique probe selection. Discret. Appl. Math. 155(6-7): 840-856 (2007) - [c18]Benjamin Georgi, M. Anne Spence, Pamela Flodman, Alexander Schliep:
Mixture Model Based Group Inference in Fused Genotype and Phenotype Data. GfKl 2007: 119-126 - [c17]Alexander Schliep:
Detecting functional modules from heterogenous mass data. LWA 2007: 9 - [c16]Benjamin Georgi, Jörg Schultz, Alexander Schliep:
Context-Specific Independence Mixture Modelling for Protein Families. PKDD 2007: 79-90 - [c15]Alexander Schliep, Roland Krause:
Efficient Computational Design of Tiling Arrays Using a Shortest Path Approach. WABI 2007: 383-394 - [c14]Ivan 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 - [e1]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. LNI P-115, GI 2007, ISBN 978-3-88579-209-3 [contents] - 2006
- [c13]Lennart Opitz, Alexander Schliep, Stefan Posch:
Joint Analysis of In-situ Hybridization and Gene Expression Data. GfKl 2006: 577-584 - [c12]Benjamin Georgi, Alexander Schliep:
Context-specific independence mixture modeling for positional weight matrices. ISMB (Supplement of Bioinformatics) 2006: 166-173 - [c11]Alexander Schliep, Sven Rahmann:
Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic tree. ISMB (Supplement of Bioinformatics) 2006: 424-430 - 2005
- [j7]Ivan G. Costa, Alexander Schönhuth, Alexander Schliep:
The Graphical Query Language: a tool for analysis of gene expression time-courses. Bioinform. 21(10): 2544-2545 (2005) - [j6]Alexander Schliep, Ivan G. Costa, Christine Steinhoff, Alexander Schönhuth:
Analyzing Gene Expression Time-Courses. IEEE ACM Trans. Comput. Biol. Bioinform. 2(3): 179-193 (2005) - [c10]Marcus Weber, Wasinee Rungsarityotin, Alexander Schliep:
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure. GfKl 2005: 103-110 - [c9]Ivan G. Costa, Alexander Schliep:
On External Indices for Mixtures: Validating Mixtures of Genes. GfKl 2005: 662-669 - 2004
- [c8]Gunnar 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 - [c7]Alexander 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 - 2003
- [c6]Alexander Schliep, David C. Torney, Sven Rahmann:
Group Testing With DNA Chips: Generating Designs and Decoding Experiments. CSB 2003: 84-93 - [c5]Alexander Schliep, Alexander Schönhuth, Christine Steinhoff:
Using hidden Markov models to analyze gene expression time course data. ISMB (Supplement of Bioinformatics) 2003: 255-263 - 2002
- [j5]Lars Kaderali, Alexander Schliep:
Selecting signature oligonucleotides to identify organisms using DNA arrays. Bioinform. 18(10): 1340-1349 (2002) - [c4]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 - 2001
- [j4]Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader:
Clustering protein sequences-structure prediction by transitive homology. Bioinform. 17(10): 935-941 (2001) - [j3]Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader:
Strongly Connected Components can Predict Protein Structure. Electron. Notes Discret. Math. 8: 10-13 (2001) - [j2]Lars Kaderali, Alexander Schliep:
A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature. Electron. Notes Discret. Math. 8: 46-49 (2001)
1990 – 1999
- 1999
- [c3]Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader:
Clustering Protein Sequences ? Structure Prediction by Transitive Homology. German Conference on Bioinformatics 1999: 181 - [c2]Alexander Schliep:
Learning Hidden Markov Model Topology. German Conference on Bioinformatics 1999: 225-226 - 1998
- [c1]Norman A. Doggett, Jonathan Longmire, Alexander Schliep, David C. Torney:
Screening large clone libraries efficiently. German Conference on Bioinformatics 1998 - 1996
- [j1]Emanuel Knill, Alexander Schliep, David C. Torney:
Interpretation of Pooling Experiments Using the Markov Chain Monte Carlo Method. J. Comput. Biol. 3(3): 395-406 (1996)
Coauthor Index
aka: Ivan Gesteira Costa
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