Alexander Schliep

Affiliations:
  • University of Gothenburg, Compute Science and Engineering Department, Sweden
  • Rutgers University, Department of Computer Science, New Brunswick, NJ, USA (former)
  • Max Planck Institute for Molecular Genetics, Berlin, Germany (former)
  • University of Cologne, Center for Applied Computer Science (ZAIK/ZPR), Germany (former, PhD 2001)


According to our database1, Alexander Schliep authored at least 62 papers between 1996 and 2021.

Collaborative distances:

Timeline

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Bibliography

2021
Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM.
PeerJ Comput. Sci., 2021

Fast parallel construction of variable-length Markov chains.
BMC Bioinform., 2021

2020
Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks.
J. Heal. Informatics Res., 2020

2019
Bayesian optimization in ab initio nuclear physics.
CoRR, 2019

Bayesian localization of CNV candidates in WGS data within minutes.
Algorithms Mol. Biol., 2019

A Modeling Approach for Bioinformatics Workflows.
Proceedings of the Practice of Enterprise Modeling, 2019

2018
An Optimization Problem Related to Bloom Filters with Bit Patterns.
Proceedings of the SOFSEM 2018: Theory and Practice of Computer Science - 44th International Conference on Current Trends in Theory and Practice of Computer Science, Krems, Austria, January 29, 2018

Effect of Network Topology on the Performance of ADMM-Based SVMs.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks.
Proceedings of the 3rd International Workshop on Knowledge Discovery in Healthcare Data co-located with the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), 2018

2016
Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression.
PLoS Comput. Biol., 2016

Automatic learning of pre-miRNAs from different species.
BMC Bioinform., 2016

2014
TreQ-CG: Clustering Accelerates High-Throughput Sequencing Read Mapping.
CoRR, 2014

The discriminant power of RNA features for pre-miRNA recognition.
BMC Bioinform., 2014

Turtle: Identifying frequent <i>k</i>-mers with cache-efficient algorithms.
Bioinform., 2014

2013
Turtle: Identifying frequent k-mers with cache-efficient algorithms
CoRR, 2013

2012
SLIQ: Simple Linear Inequalities for Efficient Contig Scaffolding.
J. Comput. Biol., 2012

CLEVER: clique-enumerating variant finder.
Bioinform., 2012

Indel-tolerant read mapping with trinucleotide frequencies using cache-oblivious <i>kd</i>-trees.
Bioinform., 2012

2011
Selecting Oligonucleotide Probes for Whole-Genome Tiling Arrays with a Cross-Hybridization Potential.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Fast MCMC Sampling for Hidden Markov Models to Determine Copy Number Variations.
BMC Bioinform., 2011

Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov Models.
Bioinform., 2011

Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions.
Bioinform., 2011

pGQL: A probabilistic graphical query language for gene expression time courses.
BioData Min., 2011

Speeding Up Bayesian HMM by the Four Russians Method.
Proceedings of the Algorithms in Bioinformatics - 11th International Workshop, 2011

2010
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data.
BMC Bioinform., 2010

2009
Constrained mixture estimation for analysis and robust classification of clinical time series.
Bioinform., 2009

2008
Efficient Algorithms for the Computational Design of Optimal Tiling Arrays.
IEEE ACM Trans. Comput. Biol. Bioinform., 2008

New, Improved, and Practical k-Stem Sequence Similarity Measures for Probe Design.
J. Comput. Biol., 2008

Clustering cancer gene expression data: a comparative study.
BMC Bioinform., 2008

Inferring differentiation pathways from gene expression.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

Ranking and selecting clustering algorithms using a meta-learning approach.
Proceedings of the International Joint Conference on Neural Networks, 2008

Comparative study on normalization procedures for cluster analysis of gene expression datasets.
Proceedings of the International Joint Conference on Neural Networks, 2008

08301 Final Report - Group Testing in the Life Sciences.
Proceedings of the Group Testing in the Life Sciences, 20.07. - 25.07.2008, 2008

2007
Integer linear programming approaches for non-unique probe selection.
Discret. Appl. Math., 2007

Identifying protein complexes directly from high-throughput TAP data with Markov random fields.
BMC Bioinform., 2007

Semi-supervised learning for the identification of syn-expressed genes from fused microarray and <i>in situ </i>image data.
BMC Bioinform., 2007

Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

Efficient Computational Design of Tiling Arrays Using a Shortest Path Approach.
Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007

Context-Specific Independence Mixture Modelling for Protein Families.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Detecting functional modules from heterogenous mass data.
Proceedings of the LWA 2007: Lernen - Wissen, 2007

Mixture Model Based Group Inference in Fused Genotype and Phenotype Data.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006
Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic tree.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Context-specific independence mixture modeling for positional weight matrices.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Joint Analysis of In-situ Hybridization and Gene Expression Data.
Proceedings of the Advances in Data Analysis, 2006

2005
Analyzing Gene Expression Time-Courses.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

The Graphical Query Language: a tool for analysis of gene expression time-courses.
Bioinform., 2005

An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

On External Indices for Mixtures: Validating Mixtures of Genes.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004
Robust inference of groups in gene expression time-courses using mixtures of HMMs.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

Optimal robust non-unique probe selection using Integer Linear Programming.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

2003
Using hidden Markov models to analyze gene expression time course data.
Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology, June 29, 2003

Group Testing With DNA Chips: Generating Designs and Decoding Experiments.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003

2002
Selecting signature oligonucleotides to identify organisms using DNA arrays.
Bioinform., 2002

ProClust: improved clustering of protein sequences with an extended graph-based approach.
Proceedings of the European Conference on Computational Biology (ECCB 2002), 2002

2001
A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature.
Electron. Notes Discret. Math., 2001

Strongly Connected Components can Predict Protein Structure.
Electron. Notes Discret. Math., 2001

Clustering protein sequences-structure prediction by transitive homology.
Bioinform., 2001

1999
Learning Hidden Markov Model Topology.
Proceedings of the German Conference on Bioinformatics, 1999

1998
Screening large clone libraries efficiently.
Proceedings of the German Conference on Bioinformatics, 1998

1996
Interpretation of Pooling Experiments Using the Markov Chain Monte Carlo Method.
J. Comput. Biol., 1996


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