Mikael Bodén

Mikael Bodén, Marcus Gallagher, Stefan Maetschke, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Multilinear Decomposition and Topographic Mapping of Binary Tensors

Hong Yan, Peter Tiño, Mikael Bodén, 2010, ICANN.

It's about time: Signal recognition in staged models of protein translocation

Mikael Bodén, Fabian A. Buske, Stefan Maetschke, 2009, Pattern Recognit..

Semantic systematicity and context in connectionist networks

Mikael Bodén, Lars Niklasson, M. Bodén, 2000, Connect. Sci..

Content, Context and Connectionist Networks

Mikael Bodén, Lars Niklasson, M. Bodén, 2020, Proceedings of the Twenty First Annual Conference of the Cognitive Science Society.

Evolving spelling exercises to suit individual student needs

Mikael Bodén, Marie Bodén, 2007, Appl. Soft Comput..

Detailed prediction of protein sub-nuclear localization

Burkhard Rost, Mikael Bodén, Sebastian Seitz, 2019, BMC Bioinformatics.

Proceedings of the A1 2006 Workshop on Intelligent Systems of Bioinformatics (WISB 2006)

Mikael Bodén, Timothy L. Bailey, M. Bodén, 2006 .

Correction to: Detailed prediction of protein sub-nuclear localization

Burkhard Rost, Mikael Bodén, Tatyana Goldberg, 2019, BMC Bioinformatics.

SCRAM: a pipeline for fast index‐free small RNA read alignment and visualization

Mikael Bodén, Neena Mitter, Stephen J. Fletcher, 2018, Bioinform..

PhosphoPICK‐SNP: quantifying the effect of amino acid variants on protein phosphorylation

Mikael Bodén, Ralph Patrick, Kim-Anh Lê Cao, 2017, Bioinform..

The applicability of recurrent neural networks for biological sequence analysis

John Hawkins, Mikael Bodén, M. Bodén, 2005, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identifying sequence regions undergoing conformational change via predicted continuum secondary structure

Mikael Bodén, Timothy L. Bailey, M. Bodén, 2006, Bioinform..

Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures

Mikael Bodén, Zheng Yuan, Timothy L. Bailey, 2006, BMC Bioinformatics.

Predicting SUMOylation Sites

Mikael Bodén, Fabian A. Buske, Denis C. Bauer, 2008, PRIB.

Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins

John Hawkins, Mikael Bodén, Stefan Maetschke, 2005, IDEAL.

Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes

Mikael Bodén, Isye Arieshanti, Fabian A. Buske, 2009, 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

SeqScrub: a web tool for automatic cleaning and annotation of FASTA file headers for bioinformatic applications.

Mikael Bodén, Gabriel Foley, Leander Sützl, 2019, BioTechniques.

DLocalMotif: a discriminative approach for discovering local motifs in protein sequences

Mikael Bodén, Bostjan Kobe, Timothy L. Bailey, 2013, Bioinform..

Learning the Dynamics of Embedded Clauses

Mikael Bodén, Alan D. Blair, A. Blair, 2003, Applied Intelligence.

A Representational Architecture for Nonmonotonic Inheritance Structures

Mikael Bodén, Ajit Narayanan, M. Bodén, 1993 .

MEME Suite: tools for motif discovery and searching

Mikael Bodén, William Stafford Noble, Martin C. Frith, 2009, Nucleic Acids Res..

NSort/DB: An Intranuclear Compartment Protein Database

Mikael Bodén, Kai Willadsen, Nurul Mohamad, 2012, Genom. Proteom. Bioinform..

Generalization by structural properties from sparse nested symbolic data

Mikael Bodén, 2002, ESANN.

Context-sensitive connectionist representations for nonmonotonic inheritance

Mikael Bodén, 1997 .

A probabilistic model of nuclear import of proteins

Mikael Bodén, Bostjan Kobe, Timothy L. Bailey, 2011, Bioinform..

Prediction of subcellular localization using sequence-biased recurrent networks

John Hawkins, Mikael Bodén, M. Bodén, 2005, Bioinform..

ICANN 98 : proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2-4 September 1998

Tom Ziemke, Mikael Bodén, Lars Niklasson, 1998 .

Context-free and context-sensitive dynamics in recurrent neural networks

Janet Wiles, Mikael Bodén, Janet Wiles, 2000, Connect. Sci..

On the ability of recurrent nets to learn deeply embedded structures

Janet Wiles, Mikael Bodén, Alan D. Blair, 1999, IJCAI 1999.

Computing the Reversal Distance between genomes in the Presence of Multi-gene Families via Binary Integer Programming

Mikael Bodén, Chidchanok Lursinsap, Jakkarin Suksawatchon, 2007, J. Bioinform. Comput. Biol..

Sorting the nuclear proteome

Mikael Bodén, Kim-Anh Lê Cao, Fabian A. Buske, 2011, Bioinform..

Predicting Nucleolar Proteins Using Support-Vector Machines

Mikael Bodén, M. Bodén, 2008, APBC.

Heuristic Algorithm for Computing Reversal Distance with MultiGene Families via Binary Integer Programming

Mikael Bodén, Chidchanok Lursinsap, Jakkarin Suksawatchon, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Reducing the number of support vectors to allay inefficiency of large‐scale models in computational biology

Mikael Bodén, Lachlan Dufton, 2007 .

The value of position-specific priors in motif discovery using MEME

Philip Machanick, Mikael Bodén, Timothy L. Bailey, 2010, BMC Bioinformatics.

Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes

Mikael Bodén, Vladimir Brusic, Marcus Gallagher, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Determining Nucleolar Association from Sequence by Leveraging Protein-Protein Interactions

Mikael Bodén, Rohan D. Teasdale, M. Bodén, 2008, J. Comput. Biol..

STAR: predicting recombination sites from amino acid sequence

Mikael Bodén, Denis C. Bauer, Ricarda Thier, 2006, BMC Bioinformatics.

Representing Structure and Structured Representations in Connectionist Networks

Mikael Bodén, Lars Niklasson, M. Bodén, 2019, Neural Network Perspectives on Cognition and Adaptive Robotics.

Generalization by symbolic abstraction in cascaded recurrent networks

Mikael Bodén, M. Bodén, 2004, Neurocomputing.

BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction

Mikael Bodén, Michael W. Towsey, Stefan Maetschke, 2005, APBC.

NLSdb—major update for database of nuclear localization signals and nuclear export signals

Burkhard Rost, Mikael Bodén, Mohamed Ahmed, 2017, Nucleic Acids Res..

A guide to recurrent neural networks and backpropagation

Mikael Bodén, M. Bodén, 2001 .

Predicting Structural Disruption of Proteins Caused by Crossover

Mikael Bodén, Zheng Yuan, Denis C. Bauer, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Engineering indel and substitution variants of diverse and ancient enzymes using Graphical Representation of Ancestral Sequence Predictions (GRASP)

Burkhard Rost, Mikael Bodén, Julian Zaugg, 2019, bioRxiv.

Learning to predict a context-free language: analysis of dynamics in recurrent hidden units

Janet Wiles, Mikael Bodén, Alan D. Blair, 1999 .

A Bayesian Network Model of Proteins' Association with Promyelocytic Leukemia (PML) Nuclear Bodies

Mikael Bodén, Kevin Burrage, Timothy L. Bailey, 2010, J. Comput. Biol..

Sequencing technologies and tools for short tandem repeat variation detection

Mikael Bodén, Minh Duc Cao, Sureshkumar Balasubramanian, 2015, Briefings Bioinform..

Evolving context-free language predictors

Tom Ziemke, Mikael Bodén, Henrik Jacobsson, 2000, GECCO.

Mapping the stabilome: a novel computational method for classifying metabolic protein stability

Mikael Bodén, Ralph Patrick, Kim-Anh Lê Cao, 2012, BMC Systems Biology.

Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathway

John Hawkins, Mikael Bodén, M. Bodén, 2006, 2006 IEEE International Conference on Evolutionary Computation.

Prediction of kinase-specific phosphorylation sites through an integrative model of protein context and sequence

Mikael Bodén, Ralph Patrick, Kim-Anh Lê Cao, 2016, bioRxiv.

Identifying novel peroxisomal proteins

John Hawkins, Mikael Bodén, Stefan Maetschke, 2007, Proteins.

Distinctive Conformation of Minor Site‐Specific Nuclear Localization Signals Bound to Importin‐α

Mikael Bodén, Bostjan Kobe, Chiung-Wen Chang, 2013, Traffic.

Predicting the Dynamics of Protein Abundance

Mikael Bodén, Ralph Patrick, Timothy L Bailey, 2014, Molecular & Cellular Proteomics.

The GMC superfamily of oxidoreductases revisited: analysis and evolution of fungal GMC oxidoreductases

Dietmar Haltrich, Mikael Bodén, Elizabeth M J Gillam, 2019, Biotechnology for Biofuels.

Predicting nuclear localization.

John Hawkins, Mikael Bodén, M. Bodén, 2007, Journal of proteome research.

Engineering highly functional thermostable proteins using ancestral sequence reconstruction

Mikael Bodén, Ulrik Jurva, Justyna Kulig, 2018, Nature Catalysis.

Predicting the solvent accessibility of transmembrane residues from protein sequence.

Mikael Bodén, Fasheng Zhang, Zheng Yuan, 2006, Journal of proteome research.

Prediction of kinase-specific phosphorylation sites through an integrative model of protein context and sequence

Mikael Bodén, Ralph Patrick, Bostjan Kobe, 2016, bioRxiv.

Molecular basis for specificity of nuclear import and prediction of nuclear localization.

Mikael Bodén, Bostjan Kobe, Ahmed M. Mehdi, 2011, Biochimica et biophysica acta.

Oil Spill Detection : A Case Study of Recurrent Artificial Neural Networks

Tom Ziemke, Mikael Bodén, Lars Niklasson, 1997 .