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

Aedín C Culhane

Showing results (1-10 of 34) with videos related to

Pageof 4
Sort By:
Cancer Research|September 3, 2009
Confounding effects in "A six-gene signature predicting breast cancer lung metastasis"Aedín C Culhane, John Quackenbush
Scientific Reports|January 21, 2023
Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq dataLauren L Hsu, Aedín C Culhane
Proteomics|June 6, 2007
A multivariate analysis approach to the integration of proteomic and gene expression dataAilís Fagan, Aedín C Culhane, Desmond G Higgins
BMC Bioinformatics|November 25, 2003
Cross-platform comparison and visualisation of gene expression data using co-inertia analysisAedín C Culhane, Guy Perrière, Desmond G Higgins
BMC Bioinformatics|July 29, 2006
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray dataIan B Jeffery, Desmond G Higgins, Aedín C Culhane
BMC Bioinformatics|June 3, 2014
A multivariate approach to the integration of multi-omics datasetsChen Meng, Bernhard Kuster, Aedín C Culhane, et al.
Bioinformatics (Oxford, England)|March 31, 2005
MADE4: an R package for multivariate analysis of gene expression dataAedín C Culhane, Jean Thioulouse, Guy Perrière, et al.
Bioinformatics (Oxford, England)|September 10, 2011
survcomp: an R/Bioconductor package for performance assessment and comparison of survival modelsMarkus S Schröder, Aedín C Culhane, John Quackenbush, et al.
Bioinformatics (Oxford, England)|July 14, 2012
iBBiG: iterative binary bi-clustering of gene setsDaniel Gusenleitner, Eleanor A Howe, Stefan Bentink, et al.
BMC Bioinformatics|September 30, 2005
Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression dataFlorent Baty, Michel P Bihl, Guy Perrière, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Cancer Research|September 3, 2009
Confounding effects in "A six-gene signature predicting breast cancer lung metastasis"Aedín C Culhane, John Quackenbush
Scientific Reports|January 21, 2023
Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq dataLauren L Hsu, Aedín C Culhane
Proteomics|June 6, 2007
A multivariate analysis approach to the integration of proteomic and gene expression dataAilís Fagan, Aedín C Culhane, Desmond G Higgins
BMC Bioinformatics|November 25, 2003
Cross-platform comparison and visualisation of gene expression data using co-inertia analysisAedín C Culhane, Guy Perrière, Desmond G Higgins
BMC Bioinformatics|July 29, 2006
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray dataIan B Jeffery, Desmond G Higgins, Aedín C Culhane
BMC Bioinformatics|June 3, 2014
A multivariate approach to the integration of multi-omics datasetsChen Meng, Bernhard Kuster, Aedín C Culhane, et al.
Bioinformatics (Oxford, England)|March 31, 2005
MADE4: an R package for multivariate analysis of gene expression dataAedín C Culhane, Jean Thioulouse, Guy Perrière, et al.
Bioinformatics (Oxford, England)|September 10, 2011
survcomp: an R/Bioconductor package for performance assessment and comparison of survival modelsMarkus S Schröder, Aedín C Culhane, John Quackenbush, et al.
Bioinformatics (Oxford, England)|July 14, 2012
iBBiG: iterative binary bi-clustering of gene setsDaniel Gusenleitner, Eleanor A Howe, Stefan Bentink, et al.
BMC Bioinformatics|September 30, 2005
Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression dataFlorent Baty, Michel P Bihl, Guy Perrière, et al.
Pageof 4