Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Oliver Stegle

Showing results (11-20 of 181) with videos related to

Pageof 19
Sort By:
Bioinformatics (Oxford, England)|April 11, 2023
FISHFactor: a probabilistic factor model for spatial transcriptomics data with subcellular resolutionFlorin C Walter, Oliver Stegle, Britta Velten
Nature Reviews. Genetics|January 1, 2026
Interpretation, extrapolation and perturbation of single cellsDaniel Dimitrov, Stefan Schrod, Martin Rohbeck, et al.
Nature Communications|August 10, 2021
IceR improves proteome coverage and data completeness in global and single-cell proteomicsMathias Kalxdorf, Torsten Müller, Oliver Stegle, et al.
Molecular Systems Biology|July 31, 2016
Deep learning for computational biologyChristof Angermueller, Tanel Pärnamaa, Leopold Parts, et al.
Gastroenterology|June 13, 2018
ReplyKate Howell, Judith Kraiczy, Oliver Stegle, et al.
Plos Genetics|February 2, 2011
Joint genetic analysis of gene expression data with inferred cellular phenotypesLeopold 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 studiesOliver 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 correctionBarbara Rakitsch, Christoph Lippert, Oliver Stegle, et al.
Nature Reviews. Genetics|January 29, 2015
Computational and analytical challenges in single-cell transcriptomicsOliver Stegle, Sarah A Teichmann, John C Marioni
Genome Biology|April 12, 2017
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learningChristof Angermueller, Heather J Lee, Wolf Reik, et al.
Pageof 19

Showing results (11-20 of 181) with videos related to

Sort By:
Pageof 19
Bioinformatics (Oxford, England)|April 11, 2023
FISHFactor: a probabilistic factor model for spatial transcriptomics data with subcellular resolutionFlorin C Walter, Oliver Stegle, Britta Velten
Nature Reviews. Genetics|January 1, 2026
Interpretation, extrapolation and perturbation of single cellsDaniel Dimitrov, Stefan Schrod, Martin Rohbeck, et al.
Nature Communications|August 10, 2021
IceR improves proteome coverage and data completeness in global and single-cell proteomicsMathias Kalxdorf, Torsten Müller, Oliver Stegle, et al.
Molecular Systems Biology|July 31, 2016
Deep learning for computational biologyChristof Angermueller, Tanel Pärnamaa, Leopold Parts, et al.
Gastroenterology|June 13, 2018
ReplyKate Howell, Judith Kraiczy, Oliver Stegle, et al.
Plos Genetics|February 2, 2011
Joint genetic analysis of gene expression data with inferred cellular phenotypesLeopold 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 studiesOliver 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 correctionBarbara Rakitsch, Christoph Lippert, Oliver Stegle, et al.
Nature Reviews. Genetics|January 29, 2015
Computational and analytical challenges in single-cell transcriptomicsOliver Stegle, Sarah A Teichmann, John C Marioni
Genome Biology|April 12, 2017
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learningChristof Angermueller, Heather J Lee, Wolf Reik, et al.
Pageof 19