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

Ioannis Tsamardinos

Showing results (1-10 of 82) with videos related to

Pageof 9
Sort By:
Patterns (New York, N.Y.)|December 26, 2022
Don't lose samples to estimationIoannis Tsamardinos
Bioinformatics (Oxford, England)|February 5, 2019
A unified approach for sparse dynamical system inference from temporal measurementsYannis Pantazis, Ioannis Tsamardinos
Data Mining and Knowledge Discovery|November 1, 2021
Extending greedy feature selection algorithms to multiple solutionsGiorgos Borboudakis, Ioannis Tsamardinos
F1000Research|October 30, 2019
Feature selection with the R package <i>MXM</i>Michail Tsagris, Ioannis Tsamardinos
Ebiomedicine|July 11, 2020
Somatic copy number aberrations detected in circulating tumor DNA can hold diagnostic value for early detection of hepatocellular carcinomaEkaterini Chatzaki, Ioannis Tsamardinos
Bioinformatics (Oxford, England)|June 4, 2010
Structure-based variable selection for survival dataVincenzo Lagani, Ioannis Tsamardinos
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
A comparison of Bayesian network learning algorithms from continuous dataLawrence D Fu, Ioannis Tsamardinos
Machine Learning|November 6, 2018
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validationIoannis Tsamardinos, Elissavet Greasidou, Giorgos Borboudakis
Plos One|November 5, 2016
omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics DataNestoras Karathanasis, Ioannis Tsamardinos, Vincenzo Lagani
Plos One|May 12, 2015
MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation MethodologyNestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi
Pageof 9

Showing results (1-10 of 82) with videos related to

Sort By:
Pageof 9
Patterns (New York, N.Y.)|December 26, 2022
Don't lose samples to estimationIoannis Tsamardinos
Bioinformatics (Oxford, England)|February 5, 2019
A unified approach for sparse dynamical system inference from temporal measurementsYannis Pantazis, Ioannis Tsamardinos
Data Mining and Knowledge Discovery|November 1, 2021
Extending greedy feature selection algorithms to multiple solutionsGiorgos Borboudakis, Ioannis Tsamardinos
F1000Research|October 30, 2019
Feature selection with the R package <i>MXM</i>Michail Tsagris, Ioannis Tsamardinos
Ebiomedicine|July 11, 2020
Somatic copy number aberrations detected in circulating tumor DNA can hold diagnostic value for early detection of hepatocellular carcinomaEkaterini Chatzaki, Ioannis Tsamardinos
Bioinformatics (Oxford, England)|June 4, 2010
Structure-based variable selection for survival dataVincenzo Lagani, Ioannis Tsamardinos
AMIA ... Annual Symposium Proceedings. AMIA Symposium|June 17, 2006
A comparison of Bayesian network learning algorithms from continuous dataLawrence D Fu, Ioannis Tsamardinos
Machine Learning|November 6, 2018
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validationIoannis Tsamardinos, Elissavet Greasidou, Giorgos Borboudakis
Plos One|November 5, 2016
omicsNPC: Applying the Non-Parametric Combination Methodology to the Integrative Analysis of Heterogeneous Omics DataNestoras Karathanasis, Ioannis Tsamardinos, Vincenzo Lagani
Plos One|May 12, 2015
MiRduplexSVM: A High-Performing MiRNA-Duplex Prediction and Evaluation MethodologyNestoras Karathanasis, Ioannis Tsamardinos, Panayiota Poirazi
Pageof 9