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Bioinformatics (Oxford, England)
|
April 11, 2023
FISHFactor: a probabilistic factor model for spatial transcriptomics data with subcellular resolution
Florin C Walter, Oliver Stegle, Britta Velten
Nature Reviews. Genetics
|
January 1, 2026
Interpretation, extrapolation and perturbation of single cells
Daniel Dimitrov, Stefan Schrod, Martin Rohbeck, et al.
Nature Communications
|
August 10, 2021
IceR improves proteome coverage and data completeness in global and single-cell proteomics
Mathias Kalxdorf, Torsten Müller, Oliver Stegle, et al.
Molecular Systems Biology
|
July 31, 2016
Deep learning for computational biology
Christof Angermueller, Tanel Pärnamaa, Leopold Parts, et al.
Gastroenterology
|
June 13, 2018
Reply
Kate Howell, Judith Kraiczy, Oliver Stegle, et al.
Plos Genetics
|
February 2, 2011
Joint genetic analysis of gene expression data with inferred cellular phenotypes
Leopold Parts, Oliver Stegle, John Winn, et al.
Plos Computational Biology
|
May 14, 2010
A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies
Oliver Stegle, Leopold Parts, Richard Durbin, et al.
Bioinformatics (Oxford, England)
|
November 24, 2012
A Lasso multi-marker mixed model for association mapping with population structure correction
Barbara Rakitsch, Christoph Lippert, Oliver Stegle, et al.
Nature Reviews. Genetics
|
January 29, 2015
Computational and analytical challenges in single-cell transcriptomics
Oliver Stegle, Sarah A Teichmann, John C Marioni
Genome Biology
|
April 12, 2017
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning
Christof Angermueller, Heather J Lee, Wolf Reik, et al.
Page
of 19
Search research articles
Search
Showing results (11-20 of 181) with videos related to
Sort By:
Page
of 19
Bioinformatics (Oxford, England)
|
April 11, 2023
FISHFactor: a probabilistic factor model for spatial transcriptomics data with subcellular resolution
Florin C Walter, Oliver Stegle, Britta Velten
Nature Reviews. Genetics
|
January 1, 2026
Interpretation, extrapolation and perturbation of single cells
Daniel Dimitrov, Stefan Schrod, Martin Rohbeck, et al.
Nature Communications
|
August 10, 2021
IceR improves proteome coverage and data completeness in global and single-cell proteomics
Mathias Kalxdorf, Torsten Müller, Oliver Stegle, et al.
Molecular Systems Biology
|
July 31, 2016
Deep learning for computational biology
Christof Angermueller, Tanel Pärnamaa, Leopold Parts, et al.
Gastroenterology
|
June 13, 2018
Reply
Kate Howell, Judith Kraiczy, Oliver Stegle, et al.
Plos Genetics
|
February 2, 2011
Joint genetic analysis of gene expression data with inferred cellular phenotypes
Leopold Parts, Oliver Stegle, John Winn, et al.
Plos Computational Biology
|
May 14, 2010
A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies
Oliver Stegle, Leopold Parts, Richard Durbin, et al.
Bioinformatics (Oxford, England)
|
November 24, 2012
A Lasso multi-marker mixed model for association mapping with population structure correction
Barbara Rakitsch, Christoph Lippert, Oliver Stegle, et al.
Nature Reviews. Genetics
|
January 29, 2015
Computational and analytical challenges in single-cell transcriptomics
Oliver Stegle, Sarah A Teichmann, John C Marioni
Genome Biology
|
April 12, 2017
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning
Christof Angermueller, Heather J Lee, Wolf Reik, et al.
Page
of 19