Oliver Stegle

According to our database1, Oliver Stegle authored at least 30 papers between 2008 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
12 Grand Challenges in Single-Cell Data Science.
PeerJ PrePrints, 2019

2018
Expression Atlas: gene and protein expression across multiple studies and organisms.
Nucleic Acids Research, 2018

2017
Open Targets: a platform for therapeutic target identification and validation.
Nucleic Acids Research, 2017

2016
GeneCodeq: quality score compression and improved genotyping using a Bayesian framework.
Bioinformatics, 2016

Warped Matrix Factorisation for Multi-view Data Integration.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

2015
Integrative Genome-wide Analysis of the Determinants of RNA Splicing in Kidney Renal Clear Cell Carcinoma.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Session introduction.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Session introduction.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013
A Lasso multi-marker mixed model for association mapping with population structure correction.
Bioinformatics, 2013

Detecting regulatory gene-environment interactions with unmeasured environmental factors.
Bioinformatics, 2013

Session introduction.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

The Future of Genome-Based Medicine.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies.
PLoS Computational Biology, 2012

easyGWAS: An integrated interspecies platform for performing genome-wide association studies
CoRR, 2012

ShapePheno: unsupervised extraction of shape phenotypes from biological image collections.
Bioinformatics, 2012

Session introduction.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2011
Efficient branch-and-bound techniques for two-locus association mapping.
BMC Bioinformatics, 2011

Detecting low-complexity unobserved causes.
Proceedings of the UAI 2011, 2011

Efficient inference in matrix-variate Gaussian models with \iid observation noise.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies.
PLoS Computational Biology, 2010

A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series.
Journal of Computational Biology, 2010

Probabilistic latent variable models for distinguishing between cause and effect.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
A kernel method for unsupervised structured network inference.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Predicting and understanding the stability of G-quadruplexes.
Bioinformatics, 2009

A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series.
Proceedings of the Research in Computational Molecular Biology, 2009

Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series.
Proceedings of the German Conference on Bioinformatics 2009, 2009

2008
Gaussian Process Robust Regression for Noisy Heart Rate Data.
IEEE Trans. Biomed. Engineering, 2008

Accounting for Non-genetic Factors Improves the Power of eQTL Studies.
Proceedings of the Research in Computational Molecular Biology, 2008

Gaussian process product models for nonparametric nonstationarity.
Proceedings of the Machine Learning, 2008


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