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

Roman Hornung

Showing results (1-10 of 26) with videos related to

Pageof 3
Sort By:
SN Computer Science|November 1, 2021
Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random ForestsRoman Hornung
Plos One|August 7, 2018
On the overestimation of random forest's out-of-bag errorSilke Janitza, Roman Hornung
BMC Bioinformatics|June 29, 2019
Block Forests: random forests for blocks of clinical and omics covariate dataRoman Hornung, Marvin N Wright
BMC Bioinformatics|January 13, 2016
Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustmentRoman Hornung, Anne-Laure Boulesteix, David Causeur
BMC Bioinformatics|May 4, 2026
ShadowVIMP: permutation-based multiple testing-controlled variable selectionTim Müller, Roman Hornung, Silke Szymczak, et al.
Genes|December 24, 2021
Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative StudyYingxia Li, Ulrich Mansmann, Shangming Du, et al.
BMC Medical Informatics and Decision Making|September 2, 2024
Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark studyYingxia Li, Tobias Herold, Ulrich Mansmann, et al.
BMC Bioinformatics|October 5, 2022
Benchmark study of feature selection strategies for multi-omics dataYingxia Li, Ulrich Mansmann, Shangming Du, et al.
Bioinformatics (Oxford, England)|November 1, 2016
Improving cross-study prediction through addon batch effect adjustment or addon normalizationRoman Hornung, David Causeur, Christoph Bernau, et al.
Briefings in Bioinformatics|August 22, 2020
Large-scale benchmark study of survival prediction methods using multi-omics dataMoritz Herrmann, Philipp Probst, Roman Hornung, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
SN Computer Science|November 1, 2021
Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random ForestsRoman Hornung
Plos One|August 7, 2018
On the overestimation of random forest's out-of-bag errorSilke Janitza, Roman Hornung
BMC Bioinformatics|June 29, 2019
Block Forests: random forests for blocks of clinical and omics covariate dataRoman Hornung, Marvin N Wright
BMC Bioinformatics|January 13, 2016
Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustmentRoman Hornung, Anne-Laure Boulesteix, David Causeur
BMC Bioinformatics|May 4, 2026
ShadowVIMP: permutation-based multiple testing-controlled variable selectionTim Müller, Roman Hornung, Silke Szymczak, et al.
Genes|December 24, 2021
Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative StudyYingxia Li, Ulrich Mansmann, Shangming Du, et al.
BMC Medical Informatics and Decision Making|September 2, 2024
Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark studyYingxia Li, Tobias Herold, Ulrich Mansmann, et al.
BMC Bioinformatics|October 5, 2022
Benchmark study of feature selection strategies for multi-omics dataYingxia Li, Ulrich Mansmann, Shangming Du, et al.
Bioinformatics (Oxford, England)|November 1, 2016
Improving cross-study prediction through addon batch effect adjustment or addon normalizationRoman Hornung, David Causeur, Christoph Bernau, et al.
Briefings in Bioinformatics|August 22, 2020
Large-scale benchmark study of survival prediction methods using multi-omics dataMoritz Herrmann, Philipp Probst, Roman Hornung, et al.
Pageof 3