Alexander Schliep

Alexander Schliep, Sven Rahmann, David C. Torney, 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

Effect of Network Topology on the Performance of ADMM-Based SVMs

Alexander Schliep, Shirin Tavara, 2018, 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).

A new Algorithm for Accelerating Pair-Wise Computations of Melting Temperature

Alexander Schliep, Lars Kaderali, Alexander Schliep, 2001, Electron. Notes Discret. Math..

COMPUTATIONAL BIOLOGY AND BIOINFORMATICS

Cigdem Demir, Alexander Schliep, John Hawkins, 2005 .

pGQL: A probabilistic graphical query language for gene expression time courses

Alexander Schliep, Ivan G. Costa, Ruben Schilling, 2010, BioData Mining.

TreQ-CG: Clustering Accelerates High-Throughput Sequencing Read Mapping pdf

Alexander Schliep, Md Pavel Mahmud, 2014, ArXiv.

Screening large clone libraries efficiently

Alexander Schliep, David C. Torney, Norman A. Doggett, 1998, German Conference on Bioinformatics.

Selecting Oligonucleotide Probes for Whole-Genome Tiling Arrays with a Cross-Hybridization Potential

Alexander Schliep, Christoph Hafemeister, Roland Krause, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models

Alexander Schliep, Nasser Mohammadiha, John Martinsson, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Identifying protein complexes directly from high-throughput TAP data with Markov random fields

Alexander Schliep, Roland Krause, Arno Schödl, 2007, BMC Bioinformatics.

Robust inference of groups in gene expression time-courses using mixtures of HMMs

Alexander Schliep, Alexander Schönhuth, Christine Steinhoff, 2004, ISMB/ECCB.

Joint Analysis of In-situ Hybridization and Gene Expression Data

Alexander Schliep, Stefan Posch, Lennart Opitz, 2006, GfKl.

Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data

Alexander Schliep, Ivan G. Costa, Lennart Opitz, 2007, BMC Bioinformatics.

Classifying short gene expression time-courses with Bayesian estimation of piecewise constant functions

Alexander Schliep, Alexander Schönhuth, Ivan G. Costa, 2011, Bioinform..

Constrained mixture estimation for analysis and robust classification of clinical time series

Alexander Schliep, Alexander Schönhuth, Ivan G. Costa, 2009, Bioinform..

Strongly Connected Components can Predict Protein Structure

Alexander Schliep, Rainer Schrader, Dietmar Schomburg, 2001, Electron. Notes Discret. Math..

Bayesian optimization in ab initio nuclear physics pdf

Alexander Schliep, Christos Dimitrakakis, Devdatt P. Dubhashi, 2019, Journal of Physics G: Nuclear and Particle Physics.

Ranking and selecting clustering algorithms using a meta-learning approach

Alexander Schliep, Ivan G. Costa, Marcílio Carlos Pereira de Souto, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

On External Indices for Mixtures: Validating Mixtures of Genes

Alexander Schliep, Ivan G. Costa, Alexander Schliep, 2005, GfKl.

Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic tree

Alexander Schliep, Sven Rahmann, Alexander Schliep, 2006, ISMB.

Speeding Up Bayesian HMM by the Four Russians Method

Alexander Schliep, Md Pavel Mahmud, Alexander Schliep, 2011, WABI.

Indel-tolerant read mapping with trinucleotide frequencies using cache-oblivious kd-trees

Alexander Schliep, John Wiedenhoeft, Md Pavel Mahmud, 2012, Bioinform..

The Graphical Query Language: a tool for analysis of gene expression time-courses

Alexander Schliep, Alexander Schönhuth, Ivan G. Costa, 2005 .

ProClust: improved clustering of protein sequences with an extended graph-based approach

Alexander Schliep, Alexander Schönhuth, Rainer Schrader, 2002, ECCB.

Detecting functional modules from heterogenous mass data

Alexander Schliep, 2007, LWA.

SLIQ: Simple Linear Inequalities for Efficient Contig Scaffolding

Alexander Schliep, Anirvan M. Sengupta, Rajat Shuvro Roy, 2012, J. Comput. Biol..

Clustering Protein Sequences ? Structure Prediction by Transitive Homology

Alexander Schliep, Rainer Schrader, Dietmar Schomburg, 2001, German Conference on Bioinformatics.

Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information

Alexander Schliep, Ivan G. Costa, Marcílio Carlos Pereira de Souto, 2007, BSB.

Proceedings of the German Conference on Bioinformatics, GCB 2007, September 26-28, 2007, Potsdam, Germany

Martin Vingron, Alexander Schliep, Joachim Selbig, 2007, German Conference on Bioinformatics.

Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs

Alexander Schliep, Nasser Mohammadiha, Edvin Listo Zec, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure

Alexander Schliep, Marcus Weber, Wasinee Rungsarityotin, 2005, GfKl.

Efficient Computation of Probe Qualities

Alexander Schliep, Knut Reinert, Christoph Hafemeister, 2008 .

Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural Networks

Alexander Schliep, Simon Persson, Olof Mogren, 2018, KDH@IJCAI.

Analyzing Gene Expression Time-Courses

Alexander Schliep, Alexander Schönhuth, Christine Steinhoff, 2005, IEEE ACM Trans. Comput. Biol. Bioinform..

Efficient Algorithms for the Computational Design of Optimal Tiling Arrays

Alexander Schliep, Roland Krause, R. Krause, 2008, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Using HaMMLET for Bayesian Segmentation of WGS Read-Depth Data.

Alexander Schliep, John Wiedenhoeft, Alexander Schliep, 2018, Methods in molecular biology.

Comparative study on normalization procedures for cluster analysis of gene expression datasets

Alexander Schliep, Ivan G. Costa, Marcílio Carlos Pereira de Souto, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

CATBox: An Interactive Course in Combinatorial Optimization

Alexander Schliep, Winfried Hochstttler, 2010 .

An Optimization Problem Related to Bloom Filters with Bit Patterns

Alexander Schliep, Peter Damaschke, Alexander Schliep, 2018, SOFSEM.

Automatic learning of pre-miRNAs from different species

Alexander Schliep, André Carlos Ponce de Leon Ferreira de Carvalho, Ivani de Oliveira Negrão Lopes, 2015, BMC Bioinformatics.

New, Improved, and Practical k-Stem Sequence Similarity Measures for Probe Design

Alexander Schliep, Anthony J. Macula, Thomas E. Renz, 2008, J. Comput. Biol..

Interpretation of Pooling Experiments Using the Markov Chain Monte Carlo Method

Alexander Schliep, Emanuel Knill, David C. Torney, 1996, J. Comput. Biol..

Mixture Model Based Group Inference in Fused Genotype and Phenotype Data

Benjamin Georgi, Alexander Schliep, Pamela Flodman, 2007, GfKl.

Using clickers to predict students final courses grades, an artificial intelligence approach.

Alexander Schliep, Fionn Delahunty, Alexander Schliep, 2019 .

Efficient Computational Design of Tiling Arrays Using a Shortest Path Approach

Alexander Schliep, Roland Krause, R. Krause, 2007, WABI.

Context-Specific Independence Mixture Modelling for Protein Families

Benjamin Georgi, Alexander Schliep, Jörg Schultz, 2007, PKDD.

Fast MCMC sampling for hidden markov models to determine copy number variations

Alexander Schliep, Md Pavel Mahmud, Alexander Schliep, 2011, BMC Bioinformatics.

Clustering cancer gene expression data: a comparative study

Alexander Schliep, Ivan G. Costa, Marcílio Carlos Pereira de Souto, 2008, BMC Bioinformatics.

08301 Final Report - Group Testing in the Life Sciences

Alexander Schliep, Amin Shokrollahi, Nicolas Thierry-Mieg, 2008, Group Testing in the Life Sciences.