Giovanni Parmigiani

According to our database, Giovanni Parmigiani authored at least 26 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Multi-source domain adaptation for regression.

Yujie Wu, Giovanni Parmigiani, Boyu Ren

CoRR, 2023

Defining Replicability of Prediction Rules.

Giovanni Parmigiani

CoRR, 2023

2022

Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling.

Cathy Shyr, Pragya Sur, Giovanni Parmigiani, Prasad Patil

CoRR, 2022

2021

Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation.

Gabriel Loewinger, Rolando Acosta Nunez, Rahul Mazumder, Giovanni Parmigiani

CoRR, 2021

Prediction of Hereditary Cancers Using Neural Networks.

Zoe Guan, Giovanni Parmigiani, Danielle Braun, Lorenzo Trippa

CoRR, 2021

Cross-Cluster Weighted Forests.

Maya Ramchandran, Rajarshi Mukherjee, Giovanni Parmigiani

CoRR, 2021

Robustifying genomic classifiers to batch effects via ensemble learning.

Yuqing Zhang, Prasad Patil, W. Evan Johnson, Giovanni Parmigiani

Bioinform., 2021

covid19census: U.S. and Italy COVID-19 metrics and other epidemiological data.

Claudio Zanettini, Mohamed Omar, Wikum Dinalankara, Eddie Luidy Imada, Elizabeth Colantuoni, Giovanni Parmigiani, Luigi Marchionni

Database J. Biol. Databases Curation, 2021

2020

Receiver operating characteristic curves with an indeterminacy zone.

Giovanni Parmigiani

Pattern Recognit. Lett., 2020

Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations.

Zhun Deng, Frances Ding, Cynthia Dwork, Rachel Hong, Giovanni Parmigiani, Prasad Patil, Pragya Sur

CoRR, 2020

Tree-Weighting for Multi-Study Ensemble Learners.

Maya Ramchandran, Prasad Patil, Giovanni Parmigiani

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

2019

Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects.

Zoe Guan, Giovanni Parmigiani, Prasad Patil

CoRR, 2019

Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes.

Yujia Bao, Zhengyi Deng, Yan Wang, Heeyoon Kim, Victor Diego Armengol, Francisco Acevedo, Nofal Ouardaoui, Cathy Wang, Giovanni Parmigiani, Regina Barzilay, Danielle Braun, Kevin S. Hughes

CoRR, 2019

2014

Integrative correlation: Properties and relation to canonical correlations.

Leslie Cope, Daniel Q. Naiman, Giovanni Parmigiani

J. Multivar. Anal., 2014

Más-o-menos: a simple sign averaging method for discrimination in genomic data analysis.

Sihai Dave Zhao, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron

Bioinform., 2014

Cross-study validation for the assessment of prediction algorithms.

Christoph Bernau, Markus Riester, Anne-Laure Boulesteix, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron, Lorenzo Trippa

Bioinform., 2014

2013

DeMix: deconvolution for mixed cancer transcriptomes using raw measured data.

Jaeil Ahn, Ying Yuan, Giovanni Parmigiani, Milind B. Suraokar, Lixia Diao, Ignacio I. Wistuba, Wenyi Wang

Bioinform., 2013

curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome.

Benjamin Frederick Ganzfried, Markus Riester, Benjamin Haibe-Kains, Thomas Risch, Svitlana Tyekucheva, Ina Jazic, Xin Victoria Wang, Mahnaz Ahmadifar, Michael J. Birrer, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron

Database J. Biol. Databases Curation, 2013

2012

Estimation of sequencing error rates in short reads.

Xin Victoria Wang, Natalie Blades, Jie Ding, Razvan Sultana, Giovanni Parmigiani

BMC Bioinform., 2012

2010

CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data.

Elana J. Fertig, Jie Ding, Alexander V. Favorov, Giovanni Parmigiani, Michael F. Ochs

Bioinform., 2010

2009

The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations.

Xue Lin, Bahman Afsari, Luigi Marchionni, Leslie Cope, Giovanni Parmigiani, Daniel Q. Naiman, Donald Geman

BMC Bioinform., 2009

2008

Identifying differential correlation in gene/pathway combinations.

Rosemary Braun, Leslie Cope, Giovanni Parmigiani

BMC Bioinform., 2008

2007

Pre-processing Agilent microarray data.

Marianna Zahurak, Giovanni Parmigiani, Wayne Yu, Robert B. Scharpf, David Berman, Edward Schaeffer, Shabana Shabbeer, Leslie Cope

BMC Bioinform., 2007

Multivariate Analysis and Visualization of Splicing Correlations in Single-Gene Transcriptomes.

Mark C. Emerick, Giovanni Parmigiani, William S. Agnew

BMC Bioinform., 2007

Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries.

Corinne Dahinden, Giovanni Parmigiani, Mark C. Emerick, Peter Bühlmann

BMC Bioinform., 2007

1996

Optimal Scheduling of Fallible Inspections.

Giovanni Parmigiani

Oper. Res., 1996