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Cancer Informatics|May 19, 2015
Recent Enhancements to the Genetic Risk Prediction Model BRCAPROEmanuele Mazzola, Amanda Blackford, Giovanni Parmigiani, et al.
Biostatistics (Oxford, England)|September 12, 2018
The impact of different sources of heterogeneity on loss of accuracy from genomic prediction modelsYuqing Zhang, Christoph Bernau, Giovanni Parmigiani, et al.
Statistical Applications in Genetics and Molecular Biology|May 2, 2006
MergeMaid: R tools for merging and cross-study validation of gene expression dataLeslie Cope, Xiaogang Zhong, Elizabeth Garrett, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 24, 2006
Gene expression patterns in dendritic cells infected with measles virus compared with other pathogensMichael J Zilliox, Giovanni Parmigiani, Diane E Griffin
Biometrics|November 29, 2016
Model averaged double robust estimationMatthew Cefalu, Francesca Dominici, Nils Arvold, et al.
Epidemiology (Cambridge, Mass.)|June 17, 2008
Model selection and health effect estimation in environmental epidemiologyFrancesca Dominici, Chi Wang, Ciprian Crainiceanu, et al.
Biostatistics (Oxford, England)|December 18, 2025
Multi-study R-learner for estimating heterogeneous treatment effects across studies using statistical machine learningCathy Shyr, Boyu Ren, Prasad Patil, et al.
Annals of Statistics|May 6, 2017
MODELING DEPENDENT GENE EXPRESSIONDonatello Telesca, Peter Müller, Giovanni Parmigiani, et al.
Biotechniques|April 1, 2003
Statistical modeling and visualization of molecular profiles in cancerRobert Scharpf, Elizabeth S Garrett, Jiang Hu, et al.
Statistics in Medicine|February 24, 2024
Optimal ensemble construction for multistudy prediction with applications to mortality estimationGabriel Loewinger, Rolando Acosta Nunez, Rahul Mazumder, et al.
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