Oliver Stegle

发表

An introduction to Gaussian processes

Oliver Stegle, Karsten M. Borgwardt, K. Borgwardt, 2010 .

Kipoi: accelerating the community exchange and reuse of predictive models for genomics

Jun Cheng, Oliver Stegle, Ziga Avsec, 2018, bioRxiv.

12 Grand Challenges in Single-Cell Data Science

Fabian J. Theis, Marcel J. T. Reinders, Jan O. Korbel, 2019, PeerJ Prepr..

Expression Atlas: gene and protein expression across multiple studies and organisms

Nuno A. Fonseca, Wojciech Bazant, Elisabet Barrera, 2017, Nucleic Acids Res..

A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series

Zoubin Ghahramani, Oliver Stegle, Karsten M. Borgwardt, 2009, RECOMB.

Detecting regulatory gene-environment interactions with unmeasured environmental factors

Neil D. Lawrence, Oliver Stegle, Karsten M. Borgwardt, 2013, Bioinform..

Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics

Tong Li, Oliver Stegle, Vitalii Kleshchevnikov, 2020, bioRxiv.

Integrative Genome-wide Analysis of the Determinants of RNA Splicing in Kidney Renal Clear Cell Carcinoma

Gunnar Rätsch, André Kahles, Oliver Stegle, 2014, bioRxiv.

Identifying temporal and spatial patterns of variation from multimodal data using MEFISTO

Oliver Stegle, Britta Velten, Jana M. Braunger, 2020, Nature Methods.

Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference

Oliver Stegle, Yuanhua Huang, Davis James McCarthy, 2019, Genome Biology.

The Kipoi repository accelerates community exchange and reuse of predictive models for genomics

Jun Cheng, Oliver Stegle, Roman Kreuzhuber, 2019, Nature Biotechnology.

easyGWAS: An integrated interspecies platform for performing genome-wide association studies pdf

Bernhard Schölkopf, Oliver Stegle, Karsten M. Borgwardt, 2012, ArXiv.

Gaussian process product models for nonparametric nonstationarity

Ryan P. Adams, Oliver Stegle, O. Stegle, 2008, ICML '08.

Session introduction

Leopold Parts, Oliver Stegle, Steven E. Brenner, 2003, Pacific Symposium on Biocomputing.

Additional File 3_retina.xlsx

Oliver Stegle, John C. Marioni, Florian Buettner, 2017 .

Gaussian Process Robust Regression for Noisy Heart Rate Data

Oliver Stegle, Søren Brage, David J. C. MacKay, 2008, IEEE Transactions on Biomedical Engineering.

Warped Matrix Factorisation for Multi-view Data Integration

Pietro Liò, Oliver Stegle, Naruemon Pratanwanich, 2016, ECML/PKDD.

LiMMBo: a simple, scalable approach for linear mixed models in high-dimensional genetic association studies

Oliver Stegle, Ewan Birney, Hannah Verena Meyer, 2018, bioRxiv.

Relational models for generating labeled real-world graphs

Oliver Stegle, Karsten M. Borgwardt, Nino Shervashidze, 2009 .

MOFA+: a probabilistic framework for comprehensive integration of structured single-cell data

Oliver Stegle, John C. Marioni, Britta Velten, 2019, bioRxiv.

A Lasso multi-marker mixed model for association mapping with population structure correction

Oliver Stegle, Karsten M. Borgwardt, Christoph Lippert, 2013, Bioinform..

Detecting low-complexity unobserved causes

Bernhard Schölkopf, Oliver Stegle, Eleni Sgouritsa, 2011, UAI.

A Robust Bayesian Two-Sample Test for Detecting Intervals of Differential Gene Expression in Microarray Time Series

Zoubin Ghahramani, Oliver Stegle, Karsten M. Borgwardt, 2009, RECOMB.

Predicting and understanding the stability of G-quadruplexes

Oliver Stegle, David J. C. MacKay, Jean-Louis Mergny, 2009, Bioinform..

Using the past to estimate sensory uncertainty

Ulrik R. Beierholm, Oliver Stegle, Uta Noppeney, 2016, bioRxiv.

Probabilistic latent variable models for distinguishing between cause and effect

Bernhard Schölkopf, Joris M. Mooij, Oliver Stegle, 2010, NIPS.

Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series

Zoubin Ghahramani, Andrew Meade, Oliver Stegle, 2009, GCB.

Robustness and applicability of functional genomics tools on scRNA-seq data

Douglas A. Lauffenburger, Julio Saez-Rodriguez, Oliver Stegle, 2019, bioRxiv.

Benchmarking Single-Cell RNA Sequencing Protocols for Cell Atlas Projects

Oliver Stegle, Christian Conrad, Aviv Regev, 2019, bioRxiv.

It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals

Oliver Stegle, Karsten M. Borgwardt, Christoph Lippert, 2013, NIPS.

Scalable latent-factor models applied to single-cell RNA-seq data separate biological drivers from confounding effects

Oliver Stegle, John C. Marioni, Florian Buettner, 2016, bioRxiv.

Open Targets: a platform for therapeutic target identification and validation

Gautier Koscielny, Robert Petryszak, Maria Keays, 2016, Nucleic Acids Res..

Benchmarking single-cell RNA-sequencing protocols for cell atlas projects

Oliver Stegle, Christian Conrad, Aviv Regev, 2020, Nature Biotechnology.

Vireo: Bayesian demultiplexing of pooled single-cell RNA-seq data without genotype reference.

Oliver Stegle, Davis J. McCarthy, Yuanhua Huang, 2019 .

IceR improves proteome coverage and data completeness in global and single-cell proteomics

Jeroen Krijgsveld, Oliver Stegle, Mathias Kalxdorf, 2020, Nature Communications.

The Future of Genome-Based Medicine

Oliver Stegle, Steven E. Brenner, Jennifer Listgarten, 2012, Pacific Symposium on Biocomputing.

Inference algorithms and learning theory for Bayesian sparse factor analysis

Magnus Rattray, Oliver Stegle, John Winn, 2009 .

Accounting for Non-genetic Factors Improves the Power of eQTL Studies

Oliver Stegle, John M. Winn, Richard Durbin, 2008, RECOMB.

Efficient branch-and-bound techniques for two-locus association mapping

Yasushi Kobayashi, Oliver Stegle, Karsten M. Borgwardt, 2011, BMC Bioinformatics.

A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies

Leopold Parts, Oliver Stegle, John M. Winn, 2010, PLoS Comput. Biol..

A kernel method for unsupervised structured network inference

Zoubin Ghahramani, Oliver Stegle, Karsten M. Borgwardt, 2009, AISTATS.

Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies

Neil D. Lawrence, Oliver Stegle, Nicoló Fusi, 2012, PLoS Comput. Biol..

GeneCodeq: quality score compression and improved genotyping using a Bayesian framework

Oliver Stegle, Alban Rrustemi, Daniel L. Greenfield, 2016, Bioinform..

Efficient inference in matrix-variate Gaussian models with \iid observation noise

Neil D. Lawrence, Joris M. Mooij, Oliver Stegle, 2011, NIPS.

The single-cell eQTLGen consortium

Matthias Heinig, Oliver Stegle, Ahmed Mahfouz, 2020, eLife.

An Introduction to Probabilistic modeling

Oliver Stegle, Karsten M. Borgwardt, Oliver Stegle, 2010 .

ShapePheno: unsupervised extraction of shape phenotypes from biological image collections

Daniel P. Miranker, Oliver Stegle, Karsten M. Borgwardt, 2012, Bioinform..

Oliver Stegle, Karsten M. Borgwardt, Christoph Lippert, 2009, GCB 2009.

An Introduction to Graph Mining

Oliver Stegle, Karsten M. Borgwardt, K. Borgwardt, 2010 .