Anders Krogh

According to our database1, Anders Krogh authored at least 58 papers between 1989 and 2020.

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Bibliography

2020
CAncer bioMarker Prediction Pipeline (CAMPP) - A standardized framework for the analysis of quantitative biological data.
PLoS Comput. Biol., 2020

2019
Sensitive detection of circular DNAs at single-nucleotide resolution using guided realignment of partially aligned reads.
BMC Bioinform., 2019

2018
Benchmarking the HLA typing performance of Polysolver and Optitype in 50 Danish parental trios.
BMC Bioinform., 2018

2017
Highly accessible AU-rich regions in 3' untranslated regions are hotspots for binding of regulatory factors.
PLoS Comput. Biol., 2017

Sequencing and <i>de novo</i> assembly of 150 genomes from Denmark as a population reference.
Nat., 2017

2014
Adaptable probabilistic mapping of short reads using position specific scoring matrices.
BMC Bioinform., 2014

2010
miRMaid: a unified programming interface for microRNA data resources.
BMC Bioinform., 2010

2009
Discovery of Regulatory Elements is Improved by a Discriminatory Approach.
PLoS Comput. Biol., 2009

CCHMM_PROF: a HMM-based coiled-coil predictor with evolutionary information.
Bioinform., 2009

2008
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update.
Nucleic Acids Res., 2008

BayesMD: Flexible Biological Modeling for Motif Discovery.
J. Comput. Biol., 2008

Modeling promoter grammars with evolving hidden Markov models.
Bioinform., 2008

2007
Intragenomic Matching Reveals a Huge Potential for miRNA-Mediated Regulation in Plants.
PLoS Comput. Biol., 2007

Advantages of combined transmembrane topology and signal peptide prediction - the Phobius web server.
Nucleic Acids Res., 2007

An evolutionary method for learning HMM structure: prediction of protein secondary structure.
BMC Bioinform., 2007

Multiple alignment and structure prediction of non-coding RNA sequences.
BMC Bioinform., 2007

MASTR: multiple alignment and structure prediction of non-coding RNAs using simulated annealing.
Bioinform., 2007

Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models.
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

2006
Evolving the structure of hidden Markov models.
IEEE Trans. Evol. Comput., 2006

Sampling Realistic Protein Conformations Using Local Structural Bias.
PLoS Comput. Biol., 2006

PONGO: a web server for multiple predictions of all-alpha transmembrane proteins.
Nucleic Acids Res., 2006

Automatic generation of gene finders for eukaryotic species.
BMC Bioinform., 2006

A hidden Markov model approach for determining expression from genomic tiling micro arrays.
BMC Bioinform., 2006

Measuring covariation in RNA alignments: physical realism improves information measures.
Bioinform., 2006

2005
Large-scale prokaryotic gene prediction and comparison to genome annotation.
Bioinform., 2005

An HMM posterior decoder for sequence feature prediction that includes homology information.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Evolving hidden Markov models for protein secondary structure prediction.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Training HMM structure with genetic algorithm for biological sequence analysis.
Bioinform., 2004

The Block Hidden Markov Model for Biological Sequence Analysis.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003
EasyGene - a prokaryotic gene finder that ranks ORFs by statistical significance.
BMC Bioinform., 2003

2002
Bias of Purine Stretches in Sequenced Chromosomes.
Comput. Chem., 2002

A sequence-profile-based HMM for predicting and discriminating beta barrel membrane proteins.
Proceedings of the Tenth International Conference on Intelligent Systems for Molecular Biology, 2002

2001
ISMB 2001.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001

2000
A General Method for Combining Predictors Tested on Protein Secondary Structure Prediction.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999
Hidden Neural Networks.
Neural Comput., 1999

1998
A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences.
Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology (ISMB-98), Montréal, Québec, Canada, June 28, 1998

Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model.
Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology (ISMB-98), Montréal, Québec, Canada, June 28, 1998

Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
Cambridge University Press, ISBN: 9780511790492, 1998

1997
Nonlinear backpropagation: doing backpropagation without derivatives of the activation function.
IEEE Trans. Neural Networks, 1997

Two Methods for Improving Performance of a HMM and their Application for Gene Finding.
Proceedings of the 5th International Conference on Intelligent Systems for Molecular Biology, 1997

Hidden neural networks: a framework for HMM/NN hybrids.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Improving Predicition of Protein Secondary Structure Using Structured Neural Networks and Multiple Sequence Alignments.
J. Comput. Biol., 1996

Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology.
Comput. Appl. Biosci., 1996

Hidden Markov models for sequence analysis: extension and analysis of the basic method.
Comput. Appl. Biosci., 1996

1995
Learning with ensembles: How overfitting can be useful.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Prediction of Beta Sheets in Proteins.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Maximum Entropy Weighting of Aligned Sequences of Proteins or DNA.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

Periodic Sequence Patterns in Human Exons.
Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology, 1995

1994
Bounds on approximate steepest descent for likelihood maximization in exponential families.
IEEE Trans. Inf. Theory, 1994

Neural Network Ensembles, Cross Validation, and Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

Hidden Markov models for labeled sequences.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
A Quantitative Study Of Pruning By Optimal Brain Damage.
Int. J. Neural Syst., 1993

Hidden Markov Models for Human Genes.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families.
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993

1991
A Simple Weight Decay Can Improve Generalization.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Introduction to the theory of neural computation.
The advanced book program 1, Addison-Wesley, ISBN: 0201515601, 1991

1990
Dynamics of Generalization in Linear Perceptrons.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1989
A Cost Function for Internal Representations.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989


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