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- Alexander Schliep
Alexander Schliep
Universitetslektor
Data Science och AI (DSAI 1)-
De novo generated combinatorial library
design
Simon Viet Johansson, Morteza Haghir Chehreghani, Ola Engkvist, Alexander Schliep
Digital Discovery - 2024 -
Compressed computations using wavelets for hidden Markov models with continuous
observations
Luca Bello, J. Wiedenhoft, Alexander Schliep
Plos One - 2023 -
Using Active Learning to Develop Machine Learning Models for Reaction Yield
Prediction
Simon Johansson, H. G. Svensson, E. Bjerrum, Alexander Schliep, M. H. Chehreghani, C. Tyrchan, O. Engkvist
Molecular Informatics - 2022 -
Fast parallel construction of variable-length Markov
chains
Joel Gustafsson, Peter Norberg, Jan R. Qvick-Wester, Alexander Schliep
Bmc Bioinformatics - 2021 -
Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer's
disease
H. V. Dansson, L. Stempfle, H. Egilsdottir, Alexander Schliep, Erik Portelius, Kaj Blennow, Henrik Zetterberg, F. D. Johansson
Alzheimers Research & Therapy - 2021 -
Effects of network topology on the performance of consensus and distributed learning of SVMs using
ADMM
Shirin Tavara, Alexander Schliep
Peerj Computer Science - 2021 -
Deep Learning for Deep Waters: An Expert-in-the-Loop Machine Learning Framework for Marine
Sciences
Igor Ryazanov, A. T. Nylund, Debabrota Basu, I. M. Hassellov, Alexander Schliep
Journal of Marine Science and Engineering - 2021 -
The Global Museum: natural history collections and the future of evolutionary science and public
education
F. T. Bakker, A. Antonelli, J. Clarke, J. A. Cook, Scott V Edwards, P. G. P. Ericson, Sören Faurby, N. Ferrand, M. Gelang, R. G. Gillespie, M. Irestedt, Kennet Lundin, Ellen Larsson, Pável Matos-Maraví, J. Muller, Ted von Proschwitz, G. K. Roderick, Alexander Schliep, N. Wahlberg, John Wiedenhoeft, M. Kallersjo
PeerJ - 2020 -
Blood Glucose Prediction with Variance Estimation Using Recurrent Neural
Networks
John Martinsson, Alexander Schliep, Olof Mogren, Björn Eliasson
Journal of Healthcare Informatics Research - 2020 -
Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational
attainment
N. Judd, B. Sauce, J. Wiedenhoeft, J. Tromp, B. Chaarani, Alexander Schliep, B. van Noort, J. Penttila, Y. Grimmer, C. Insensee, A. Becker, T. Banaschewski, A. L. W. Bokde, E. B. Quinlan, S. Desrivieres, H. Flor, A. Grigis, P. Gowland, A. Heinz, B. Ittermann, J. L. Martinot, M. L. P. Martinot, E. Artiges, F. Nees, D. P. Orfanos, T. Paus, L. Poustka, S. Hohmann, S. Millenet, J. H. Frohner, M. N. Smolka, H. Walter, R. Whelan, G. Schumann, H. Garavan, T. Klingberg
Proceedings of the National Academy of Sciences of the United States of America - 2020 -
Bayesian optimization in ab initio nuclear
physics
A. Ekstrom, C. Forssen, C. Dimitrakakis, D. Dubhashi, H. T. Johansson, A. S. Muhammad, H. Salomonsson, Alexander Schliep
Journal of Physics G-Nuclear and Particle Physics - 2019 -
AI-assisted synthesis
prediction
S. Johansson, A. Thakkar, T. Kogej, E. Bjerrum, S. Genheden, T. Bastys, C. Kannas, Alexander Schliep, H. Chen, O. Engkvist
Drug Discovery Today: Technologies - 2019 -
A Modeling Approach for Bioinformatics
Workflows
Laiz Heckmann Barbalho de Figueroa, Rema Salman, Jennifer Horkhoff, Soni Chauhan, Marcela Davila Lopez, Francisco Gomes de Oliveira Neto, Alexander Schliep
The Practice of Enterprise Modeling - 12th {IFIP} Working Conference, PoEM 2019, Luxembourg, Luxembourg, November 27-29, 2019, Proceedings - 2019 -
Bayesian localization of CNV candidates in WGS data within
minutes
John Wiedenhoeft, A. Cagan, R. Kozhemyakina, R. Gulevich, Alexander Schliep
Algorithms for Molecular Biology - 2019 -
Using clickers to predict students final courses grades, an artificial intelligence
approach
Fionn Delahunty, Alexander Schliep
Extended Abstract of KUL-2019 presentation - 2019 -
Effect of Network Topology on the Performance of ADMM-Based
SVMs
Shirin Tavara, Alexander Schliep
30th International Symposium on Computer Architecture and High Performance Computing, {SBAC-PAD} 2018, Lyon, France, September 24-27, 2018 - 2018 -
Using HaMMLET for Bayesian Segmentation of WGS Read-Depth
Data.
John Wiedenhoeft, Alexander Schliep
Methods in molecular biology (Clifton, N.J.) - 2018 -
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural
Networks
John Martinsson, Alexander Schliep, Christian Meijner, Simon Persson, Olof Mogren
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), Stockholm, Schweden, July 13, 2018. - 2018 -
An optimization problem related to bloom filters with bit
patterns
Peter Damaschke, Alexander Schliep
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2018 -
Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov
Models
John Martinsson, Nasser Mohammadiha, Alexander Schliep
2018 21st International Conference on Intelligent Transportation Systems (ITSC) - 2018 -
Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output
HMMs
Edvin Listo Zec, Nasser Mohammadiha, Alexander Schliep
21st International Conference on Intelligent Transportation Systems, {ITSC} 2018 - 2018 -
Automatic Blood Glucose Prediction with Confidence Using Recurrent Neural
Networks
John Martinsson, Alexander Schliep, Björn Eliasson, Christian Meijner, Simon Persson, Olof Mogren
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 -
Statistical Bioinformatics at
Genome-Scale
Alexander Schliep
Invited Talk at SciLifeLab, Stockholm University, Stockholm, Sweden (Jan. 24, 2017) - 2017 -
Automatic learning of pre-miRNAs from different
species
Ivani de O N Lopes, Alexander Schliep, André P de L F de Carvalho
BMC bioinformatics - 2016 -
Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet
Compression.
John Wiedenhoeft, Eric Brugel, Alexander Schliep
PLoS computational biology - 2016 -
Big Data Science with Applications in
Genomics
Alexander Schliep
Invited Talk at Universite Libre Brussels, Belgium (April 20, 2016) - 2016 -
Compressive Genomics: Statistical Bioinformatics for Genome-Scale
Data
Alexander Schliep
Invited Talk at Institute for Computational Biomedicine, Department of Physiology and Biophysics, Weill Cornell Medicine, NYC, NY (June 17, 2016) - 2016 -
Compressive Omics: Data science for biomedical
applications
Alexander Schliep
Key note at 4th Swedish Workshop on Data Science (SweDS 2016), Skövde, Sweden (Nov. 11, 2016) - 2016 -
Turtle: identifying frequent k-mers with cache-efficient
algorithms.
Rajat Shuvro Roy, Debashish Bhattacharya, Alexander Schliep
Bioinformatics (Oxford, England) - 2014 -
The discriminant power of RNA features for pre-miRNA
recognition.
Ivani de O N Lopes, Alexander Schliep, André C P de L F de Carvalho
BMC bioinformatics - 2014 -
Single cell genome analysis of an uncultured heterotrophic
stramenopile.
Rajat S Roy, Dana C Price, Alexander Schliep, Guohong Cai, Anton Korobeynikov, Hwan Su Yoon, Eun Chan Yang, Debashish Bhattacharya
Scientific reports - 2014 -
SLIQ: simple linear inequalities for efficient contig
scaffolding.
Rajat S Roy, Kevin C Chen, Anirvan M Sengupta, Alexander Schliep
Journal of computational biology : a journal of computational molecular cell biology - 2012 -
Indel-tolerant read mapping with trinucleotide frequencies using cache-oblivious
kd-trees.
Md Pavel Mahmud, John Wiedenhoeft, Alexander Schliep
Bioinformatics (Oxford, England) - 2012 -
CLEVER: clique-enumerating variant
finder.
Tobias Marschall, Ivan G Costa, Stefan Canzar, Markus Bauer, Gunnar W Klau, Alexander Schliep, Alexander Schönhuth
Bioinformatics (Oxford, England) - 2012 -
Speeding up Bayesian HMM by the four Russians
method
Md Pavel Mahmud, Alexander Schliep
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 2011 -
Classifying short gene expression time-courses with Bayesian estimation of piecewise constant
functions.
Christoph Hafemeister, Ivan G Costa, Alexander Schönhuth, Alexander Schliep
Bioinformatics (Oxford, England) - 2011 -
pGQL: A probabilistic graphical query language for gene expression time
courses.
Ruben Schilling, Ivan G Costa, Alexander Schliep
BioData mining - 2011 -
Exploiting prior knowledge and gene distances in the analysis of tumor expression profiles with extended Hidden Markov
Models.
Michael Seifert, Marc Strickert, Alexander Schliep, Ivo Grosse
Bioinformatics (Oxford, England) - 2011 -
Selecting oligonucleotide probes for whole-genome tiling arrays with a cross-hybridization
potential.
Christoph Hafemeister, Roland Krause, Alexander Schliep
IEEE/ACM transactions on computational biology and bioinformatics - 2011 -
Fast MCMC sampling for hidden Markov Models to determine copy number
variations.
Md Pavel Mahmud, Alexander Schliep
BMC bioinformatics - 2011 -
CATBox [Elektronisk
resurs]
Winfried. Hochstättler, Alexander Schliep
2010 -
PyMix--the python mixture package--a tool for clustering of heterogeneous biological
data.
Benjamin Georgi, Ivan Gesteira Costa, Alexander Schliep
BMC bioinformatics - 2010 -
Semi-supervised Clustering of Yeast Gene Expression
Data
A. Schönhuth, I.G. Costa, Alexander Schliep
Cooperation in Classification and Data Analysis: Proceedings of Two German-Japanese Workshops - 2009 -
Constrained mixture estimation for analysis and robust classification of clinical time
series.
Ivan G Costa, Alexander Schönhuth, Christoph Hafemeister, Alexander Schliep
Bioinformatics (Oxford, England) - 2009 -
Partially-supervised protein subclass discovery with simultaneous annotation of functional
residues.
Benjamin Georgi, Jörg Schultz, Alexander Schliep
BMC structural biology - 2009 -
Mixture Model Based Group Inference in Fused Genotype and Phenotype
Data
B. Georgi, M.A. Spence, P. Flodman, Alexander Schliep
Data Analysis, Machine Learning and Applications - 2008 -
Comparative study on normalization procedures for cluster analysis of gene expression
datasets
Marcilio C P De Souto, Daniel S A De Araujo, Ivan G. Costa, Rodrigo G F Soares, Teresa B. Ludermir, Alexander Schliep
Proceedings of the International Joint Conference on Neural Networks - 2008 -
Ranking and selecting clustering algorithms using a meta-learning
approach
Marcilio C P De Souto, Ricardo B C Prudêncio, Rodrigo G F Soares, Daniel S A De Araujo, Ivan G. Costa, Teresa B. Ludermir, Alexander Schliep
Proceedings of the International Joint Conference on Neural Networks - 2008 -
Clustering cancer gene expression data: a comparative
study.
Marcilio C P de Souto, Ivan G Costa, Daniel S A de Araujo, Teresa B Ludermir, Alexander Schliep
BMC bioinformatics - 2008 -
New, improved, and practical k-stem sequence similarity measures for probe
design.
Anthony J Macula, Alexander Schliep, Morgan A Bishop, Thomas E Renz
Journal of computational biology : a journal of computational molecular cell biology - 2008 -
Inferring differentiation pathways from gene
expression.
Ivan G Costa, Stefan Roepcke, Christoph Hafemeister, Alexander Schliep
Bioinformatics (Oxford, England) - 2008 -
Efficient algorithms for the computational design of optimal tiling
arrays.
Alexander Schliep, Roland Krause
IEEE/ACM transactions on computational biology and bioinformatics - 2008 -
Joint Analysis of In-situ Hybridization and Gene Expression
Data
L. Opitz, Alexander Schliep, S. Posch
Advances in Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization - 2007 -
Integer linear programming approaches for non-unique probe
selection
Gunnar W. Klau, Sven Rahmann, Alexander Schliep, Martin Vingron, Knut Reinert
Discrete Applied Mathematics - 2007 -
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual
Information
I.G. Costa, M.C.P. de Souto, Alexander Schliep
Advances in Bioinformatics and Computational Biology. BSB 2007 - 2007 -
Context-Specific Independence Mixture Modelling for Protein
Families
B. Georgi, J. Schultz, Alexander Schliep
Knowledge Discovery in Databases: PKDD 2007 - 2007 -
Efficient Computational Design of Tiling Arrays Using a Shortest Path
Approach
Alexander Schliep, R. Krause
Algorithms in Bioinformatics. WABI 2007 - 2007 -
Identifying protein complexes directly from high-throughput TAP data with Markov random
fields.
Wasinee Rungsarityotin, Roland Krause, Arno Schödl, Alexander Schliep
BMC bioinformatics - 2007 -
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image
data.
Ivan G Costa, Roland Krause, Lennart Opitz, Alexander Schliep
BMC bioinformatics - 2007 -
Gene expression trees in lymphoid
development.
Ivan G Costa, Stefan Roepcke, Alexander Schliep
BMC immunology - 2007 -
An Indicator for the Number of Clusters: Using a Linear Map to Simplex
Structure
M. Weber, W. Rungsarityotin, Alexander Schliep
From Data and Information Analysis to Knowledge Engineering. Studies in Classification, Data Analysis, and Knowledge Organization - 2006 -
On External Indices for Mixtures: Validating Mixtures of
Genes
I.G. Costa, Alexander Schliep
From Data and Information Analysis to Knowledge Engineering - 2006 -
Context-specific independence mixture modeling for positional weight
matrices.
Benjamin Georgi, Alexander Schliep
Bioinformatics (Oxford, England) - 2006 -
Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic
tree.
Alexander Schliep, Sven Rahmann
Bioinformatics (Oxford, England) - 2006 -
The Graphical Query Language: a tool for analysis of gene expression
time-courses.
Ivan G Costa, Alexander Schönhuth, Alexander Schliep
Bioinformatics (Oxford, England) - 2005 -
Analyzing gene expression
time-courses.
Alexander Schliep, Ivan G Costa, Christine Steinhoff, Alexander Schönhuth
IEEE/ACM transactions on computational biology and bioinformatics - 2005 -
Robust inference of groups in gene expression time-courses using mixtures of
HMMs.
Alexander Schliep, Christine Steinhoff, Alexander Schönhuth
Bioinformatics (Oxford, England) - 2004 -
Optimal robust non-unique probe selection using Integer Linear
Programming.
Gunnar W Klau, Sven Rahmann, Alexander Schliep, Martin Vingron, Knut Reinert
Bioinformatics (Oxford, England) - 2004 -
Model-Based Clustering With Hidden Markov Models and its Application to Financial Time-Series
Data
B. Knab, Alexander Schliep, B. Steckemetz, B. Wichern
Between Data Science and Applied Data Analysis - 2003 -
Group testing with DNA chips: generating designs and decoding
experiments.
Alexander Schliep, David C Torney, Sven Rahmann
Proceedings. IEEE Computer Society Bioinformatics Conference - 2003 -
Using hidden Markov models to analyze gene expression time course
data.
Alexander Schliep, Alexander Schönhuth, Christine Steinhoff
Bioinformatics (Oxford, England) - 2003 -
Developing Gato and CATBox with Python: Teaching Graph Algorithms through Visualization and
Experimentation
Alexander Schliep, W. Hochstättler
Multimedia Tools for Communicating Mathematics - 2002 -
ProClust: improved clustering of protein sequences with an extended graph-based
approach.
P Pipenbacher, Alexander Schliep, S Schneckener, A Schönhuth, D Schomburg, R Schrader
Bioinformatics (Oxford, England) - 2002 -
Selecting signature oligonucleotides to identify organisms using DNA
arrays.
Lars Kaderali, Alexander Schliep
Bioinformatics (Oxford, England) - 2002 -
A new Algorithm for Accelerating Pair-Wise Computations of Melting
Temperature
Lars Kaderali, Alexander Schliep
Electronic Notes in Discrete Mathematics - 2001 -
Strongly Connected Components can Predict Protein
Structure
Eva Bolten, Alexander Schliep, Sebastian Schneckener, Dietmar Schomburg, Rainer Schrader
2001 -
Clustering protein sequences--structure prediction by transitive
homology.
E Bolten, Alexander Schliep, S Schneckener, D Schomburg, R Schrader
Bioinformatics (Oxford, England) - 2001 -
Interpretation of pooling experiments using the Markov chain Monte Carlo
method.
E Knill, Alexander Schliep, D C Torney
Journal of computational biology : a journal of computational molecular cell biology - 1996 -
The software GADAR and its application to extremal graph
theory
Alexander Schliep
Congressus Numerantium - 1994