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

John T Ormerod

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Plos One|March 2, 2016
A Variational Bayes Approach to the Analysis of Occupancy ModelsAllan E Clark, Res Altwegg, John T Ormerod
NAR Genomics and Bioinformatics|March 18, 2022
scREMOTE: Using multimodal single cell data to predict regulatory gene relationships and to build a computational cell reprogramming modelAndy Tran, Pengyi Yang, Jean Y H Yang, et al.
Bioinformatics (Oxford, England)|February 4, 2015
ClassifyR: an R package for performance assessment of classification with applications to transcriptomicsDario Strbenac, Graham J Mann, John T Ormerod, et al.
Nucleic Acids Research|May 19, 2016
Differential distribution improves gene selection stability and has competitive classification performance for patient survivalDario Strbenac, Graham J Mann, Jean Y H Yang, et al.
Bioinformatics (Oxford, England)|August 14, 2018
DCARS: differential correlation across ranked samplesShila Ghazanfar, Dario Strbenac, John T Ormerod, et al.
BMC Systems Biology|January 21, 2017
Integrated single cell data analysis reveals cell specific networks and novel coactivation markersShila Ghazanfar, Adam J Bisogni, John T Ormerod, et al.
Bioinformatics (Oxford, England)|April 19, 2022
spicyR: spatial analysis of in situ cytometry data in RNicolas P Canete, Sourish S Iyengar, John T Ormerod, et al.
BMC Bioinformatics|December 25, 2019
scDC: single cell differential composition analysisYue Cao, Yingxin Lin, John T Ormerod, et al.
IEEE Transactions on Cybernetics|July 12, 2018
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics ApplicationsPengyi Yang, John T Ormerod, Wei Liu, et al.
Oncotarget|November 12, 2016
A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer typesEllis Patrick, Sarah-Jane Schramm, John T Ormerod, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Plos One|March 2, 2016
A Variational Bayes Approach to the Analysis of Occupancy ModelsAllan E Clark, Res Altwegg, John T Ormerod
NAR Genomics and Bioinformatics|March 18, 2022
scREMOTE: Using multimodal single cell data to predict regulatory gene relationships and to build a computational cell reprogramming modelAndy Tran, Pengyi Yang, Jean Y H Yang, et al.
Bioinformatics (Oxford, England)|February 4, 2015
ClassifyR: an R package for performance assessment of classification with applications to transcriptomicsDario Strbenac, Graham J Mann, John T Ormerod, et al.
Nucleic Acids Research|May 19, 2016
Differential distribution improves gene selection stability and has competitive classification performance for patient survivalDario Strbenac, Graham J Mann, Jean Y H Yang, et al.
Bioinformatics (Oxford, England)|August 14, 2018
DCARS: differential correlation across ranked samplesShila Ghazanfar, Dario Strbenac, John T Ormerod, et al.
BMC Systems Biology|January 21, 2017
Integrated single cell data analysis reveals cell specific networks and novel coactivation markersShila Ghazanfar, Adam J Bisogni, John T Ormerod, et al.
Bioinformatics (Oxford, England)|April 19, 2022
spicyR: spatial analysis of in situ cytometry data in RNicolas P Canete, Sourish S Iyengar, John T Ormerod, et al.
BMC Bioinformatics|December 25, 2019
scDC: single cell differential composition analysisYue Cao, Yingxin Lin, John T Ormerod, et al.
IEEE Transactions on Cybernetics|July 12, 2018
AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics ApplicationsPengyi Yang, John T Ormerod, Wei Liu, et al.
Oncotarget|November 12, 2016
A multi-step classifier addressing cohort heterogeneity improves performance of prognostic biomarkers in three cancer typesEllis Patrick, Sarah-Jane Schramm, John T Ormerod, et al.
Pageof 2