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Journal of Statistical Software
|
July 14, 2010
rpartOrdinal: An R Package for Deriving a Classification Tree for Predicting an Ordinal Response
Kellie J Archer
Radiology. Artificial Intelligence
|
October 15, 2025
How Much Training Data Does AI Need?
Kellie J Archer
Cancer Informatics
|
April 11, 2015
Modeling discrete survival time using genomic feature data
Kyle Ferber, Kellie J Archer
Cancer Informatics
|
May 19, 2015
Generalized monotone incremental forward stagewise method for modeling count data: application predicting micronuclei frequency
Mateusz Makowski, Kellie J Archer
Briefings in Bioinformatics
|
June 28, 2016
Estimation of random effects and identifying heterogeneous genes in meta-analysis of gene expression studies
Umaporn Siangphoe, Kellie J Archer
Journal of Acquired Immune Deficiency Syndromes (1999)
|
November 17, 2015
Gene Expression in HIV-Associated Neurocognitive Disorders: A Meta-Analysis
Umaporn Siangphoe, Kellie J Archer
BMC Bioinformatics
|
November 3, 2021
Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia
Yiran Zhang, Kellie J Archer
Statistical Applications in Genetics and Molecular Biology
|
February 27, 2015
Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data
Jiayi Hou, Kellie J Archer
Computer Methods and Programs in Biomedicine
|
January 3, 2026
Fitting high-dimensional mixture cure models using the hdcuremodelsR package
Kellie J Archer, Han Fu
Bioinformatics (Oxford, England)
|
August 29, 2006
An application for assessing quality of RNA hybridized to Affymetrix GeneChips
Kellie J Archer, Tobias Guennel
Page
of 13
Search research articles
Search
Showing results (1-10 of 124) with videos related to
Sort By:
Page
of 13
Journal of Statistical Software
|
July 14, 2010
rpartOrdinal: An R Package for Deriving a Classification Tree for Predicting an Ordinal Response
Kellie J Archer
Radiology. Artificial Intelligence
|
October 15, 2025
How Much Training Data Does AI Need?
Kellie J Archer
Cancer Informatics
|
April 11, 2015
Modeling discrete survival time using genomic feature data
Kyle Ferber, Kellie J Archer
Cancer Informatics
|
May 19, 2015
Generalized monotone incremental forward stagewise method for modeling count data: application predicting micronuclei frequency
Mateusz Makowski, Kellie J Archer
Briefings in Bioinformatics
|
June 28, 2016
Estimation of random effects and identifying heterogeneous genes in meta-analysis of gene expression studies
Umaporn Siangphoe, Kellie J Archer
Journal of Acquired Immune Deficiency Syndromes (1999)
|
November 17, 2015
Gene Expression in HIV-Associated Neurocognitive Disorders: A Meta-Analysis
Umaporn Siangphoe, Kellie J Archer
BMC Bioinformatics
|
November 3, 2021
Bayesian variable selection for high-dimensional data with an ordinal response: identifying genes associated with prognostic risk group in acute myeloid leukemia
Yiran Zhang, Kellie J Archer
Statistical Applications in Genetics and Molecular Biology
|
February 27, 2015
Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data
Jiayi Hou, Kellie J Archer
Computer Methods and Programs in Biomedicine
|
January 3, 2026
Fitting high-dimensional mixture cure models using the hdcuremodelsR package
Kellie J Archer, Han Fu
Bioinformatics (Oxford, England)
|
August 29, 2006
An application for assessing quality of RNA hybridized to Affymetrix GeneChips
Kellie J Archer, Tobias Guennel
Page
of 13