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

Lori A Dalton

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
EURASIP Journal on Bioinformatics & Systems Biology|November 3, 2015
On optimal Bayesian classification and risk estimation under multiple classesLori A Dalton, Mohammadmahdi R Yousefi
EURASIP Journal on Bioinformatics & Systems Biology|February 15, 2017
Optimal cancer prognosis under network uncertaintyMohammadmahdi R Yousefi, Lori A Dalton
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 25, 2018
Optimal Bayesian Filtering for Biomarker Discovery: Performance and RobustnessAli Foroughi Pour, Lori A Dalton
Bioinformatics (Oxford, England)|May 10, 2011
Application of the Bayesian MMSE estimator for classification error to gene expression microarray dataLori A Dalton, Edward R Dougherty
Cancer Informatics|April 30, 2016
Data Requirements for Model-Based Cancer Prognosis PredictionLori A Dalton, Mohammadmahdi R Yousefi
BMC Bioinformatics|March 29, 2018
Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structureAli Foroughi Pour, Lori A Dalton
EURASIP Journal on Bioinformatics & Systems Biology|August 21, 2013
Scientific knowledge is possible with small-sample classificationEdward R Dougherty, Lori A Dalton
Plos One|October 3, 2018
Optimal clustering under uncertaintyLori A Dalton, Marco E Benalcázar, Edward R Dougherty
Cancer Informatics|March 14, 2018
Guest Editorial-Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and TherapyEdward R Dougherty, Anne-Laure Boulesteix, Lori A Dalton, et al.
BMC Bioinformatics|April 27, 2020
High dimensional model representation of log-likelihood ratio: binary classification with expression dataAli Foroughi Pour, Maciej Pietrzak, Lori A Dalton, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
EURASIP Journal on Bioinformatics & Systems Biology|November 3, 2015
On optimal Bayesian classification and risk estimation under multiple classesLori A Dalton, Mohammadmahdi R Yousefi
EURASIP Journal on Bioinformatics & Systems Biology|February 15, 2017
Optimal cancer prognosis under network uncertaintyMohammadmahdi R Yousefi, Lori A Dalton
IEEE/ACM Transactions on Computational Biology and Bioinformatics|July 25, 2018
Optimal Bayesian Filtering for Biomarker Discovery: Performance and RobustnessAli Foroughi Pour, Lori A Dalton
Bioinformatics (Oxford, England)|May 10, 2011
Application of the Bayesian MMSE estimator for classification error to gene expression microarray dataLori A Dalton, Edward R Dougherty
Cancer Informatics|April 30, 2016
Data Requirements for Model-Based Cancer Prognosis PredictionLori A Dalton, Mohammadmahdi R Yousefi
BMC Bioinformatics|March 29, 2018
Heuristic algorithms for feature selection under Bayesian models with block-diagonal covariance structureAli Foroughi Pour, Lori A Dalton
EURASIP Journal on Bioinformatics & Systems Biology|August 21, 2013
Scientific knowledge is possible with small-sample classificationEdward R Dougherty, Lori A Dalton
Plos One|October 3, 2018
Optimal clustering under uncertaintyLori A Dalton, Marco E Benalcázar, Edward R Dougherty
Cancer Informatics|March 14, 2018
Guest Editorial-Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and TherapyEdward R Dougherty, Anne-Laure Boulesteix, Lori A Dalton, et al.
BMC Bioinformatics|April 27, 2020
High dimensional model representation of log-likelihood ratio: binary classification with expression dataAli Foroughi Pour, Maciej Pietrzak, Lori A Dalton, et al.
Pageof 2