Alexander Schliep

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).

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).

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

Alexander Schliep, Michael Seifert, Marc Strickert, 2011, Bioinform..

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

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

Blood Glucose Prediction with Variance Estimation Using Recurrent Neural Networks

Olof Mogren, John Martinsson, Alexander Schliep, 2019, J. Heal. Informatics Res..

Deep Learning for Deep Waters: An Expert-in-the-Loop Machine Learning Framework for Marine Sciences

Debabrota Basu, Ida-Maja Hassellöv, Alexander Schliep, 2021, Journal of Marine Science and Engineering.

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

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

Clustering Protein Sequences ? Structure Prediction by Transitive Homology

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

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

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

The Global Museum: natural history collections and the future of evolutionary biology and public education

Alexander Schliep, M. Källersjö, S. Edwards, 2019 .

Group testing with DNA chips: generating designs and decoding experiments

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

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

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

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

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

Clustering cancer gene expression data: a comparative study

Ivan G. Costa, Teresa B Ludermir, Alexander Schliep, 2008, BMC Bioinform..

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

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

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.

The discriminant power of RNA features for pre-miRNA recognition

Alexander Schliep, André Carlos Ponce de Leon Ferreira de Carvalho, Ivani de Oliveira Negrão Lopes, 2013, BMC Bioinformatics.

Turtle: Identifying frequent k-mers with cache-efficient algorithms

Alexander Schliep, Rajat Shuvro Roy, Debashish Bhattacharya, 2013, Bioinform..

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

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

Gene expression trees in lymphoid development

Ivan G. Costa, Alexander Schliep, S. Roepcke, 2007, BMC Immunology.

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

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

Mixture Model Based Group Inference in Fused Genotype and Phenotype Data

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

Joint Analysis of In-situ Hybridization and Gene Expression Data

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

On External Indices for Mixtures: Validating Mixtures of Genes

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

Bayesian localization of CNV candidates in WGS data within minutes

Alexander Schliep, John Wiedenhoeft, Alex Cagan, 2019, Algorithms for Molecular Biology.

Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression

Alexander Schliep, John Wiedenhoeft, Eric Brugel, 2015, bioRxiv.

Compressed computations using wavelets for hidden Markov models with continuous observations

Alexander Schliep, Luca Bello, John Wiedenhöft, 2023, PLoS ONE.

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

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

HaMMLET - Supplemental Material

Alexander Schliep, John Wiedenhoeft, Eric Brugel, 2016 .

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

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

Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM

Shirin Tavara, Alexander Schliep, Alexander Schliep, 2021, PeerJ Comput. Sci..

A Modeling Approach for Bioinformatics Workflows

Jennifer Horkoff, Francisco Gomes de Oliveira Neto, Alexander Schliep, 2019, PoEM.

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.

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

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

Efficient Computational Design of Tiling Arrays Using a Shortest Path Approach

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

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

Alexander Schliep, Fionn Delahunty, Alexander Schliep, 2019 .

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).

Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction

Morteza Haghir Chehreghani, Ola Engkvist, Christian Tyrchan, 2021, Molecular informatics.

Predicting Progression & Cognitive Decline in Amyloid-Positive Patients with Alzheimer's Disease

Fredrik D. Johansson, Alexander Schliep, K. Blennow, 2021 .