Giovanni Parmigiani

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 13

Top Topics

Invariant Representation

Medical Literature

Prediction Algorithm

Top Venues

Database J. Biol. Databases Curation

Publications

Giovanni Parmigiani
Defining Replicability of Prediction Rules. CoRR (2023)
Yujie Wu, Giovanni Parmigiani, Boyu Ren
Multi-source domain adaptation for regression. CoRR (2023)
Cathy Shyr, Pragya Sur, Giovanni Parmigiani, Prasad Patil
Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling. CoRR (2022)
Claudio Zanettini, Mohamed Omar, Wikum Dinalankara, Eddie Luidy Imada, Elizabeth Colantuoni, Giovanni Parmigiani, Luigi Marchionni
covid19census: U.S. and Italy COVID-19 metrics and other epidemiological data. Database J. Biol. Databases Curation 2021 (2021)
Maya Ramchandran, Rajarshi Mukherjee, Giovanni Parmigiani
Cross-Cluster Weighted Forests. CoRR (2021)
Zoe Guan, Giovanni Parmigiani, Danielle Braun, Lorenzo Trippa
Prediction of Hereditary Cancers Using Neural Networks. CoRR (2021)
Gabriel Loewinger, Rolando Acosta Nunez, Rahul Mazumder, Giovanni Parmigiani
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation. CoRR (2021)
Yuqing Zhang, Prasad Patil, W. Evan Johnson, Giovanni Parmigiani
Robustifying genomic classifiers to batch effects via ensemble learning. Bioinform. 37 (11) (2021)
Giovanni Parmigiani
Receiver operating characteristic curves with an indeterminacy zone. Pattern Recognit. Lett. 136 (2020)
Maya Ramchandran, Prasad Patil, Giovanni Parmigiani
Tree-Weighting for Multi-Study Ensemble Learners. PSB (2020)
Zhun Deng, Frances Ding, Cynthia Dwork, Rachel Hong, Giovanni Parmigiani, Prasad Patil, Pragya Sur
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations. CoRR (2020)
Zoe Guan, Giovanni Parmigiani, Prasad Patil
Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects. CoRR (2019)
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
Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes. CoRR (2019)
Sihai Dave Zhao, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron
Más-o-menos: a simple sign averaging method for discrimination in genomic data analysis. Bioinform. 30 (21) (2014)
Christoph Bernau, Markus Riester, Anne-Laure Boulesteix, Giovanni Parmigiani, Curtis Huttenhower, Levi Waldron, Lorenzo Trippa
Cross-study validation for the assessment of prediction algorithms. Bioinform. 30 (12) (2014)
Leslie Cope, Daniel Q. Naiman, Giovanni Parmigiani
Integrative correlation: Properties and relation to canonical correlations. J. Multivar. Anal. 123 (2014)
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
curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome. Database J. Biol. Databases Curation 2013 (2013)
Jaeil Ahn, Ying Yuan, Giovanni Parmigiani, Milind B. Suraokar, Lixia Diao, Ignacio I. Wistuba, Wenyi Wang
DeMix: deconvolution for mixed cancer transcriptomes using raw measured data. Bioinform. 29 (15) (2013)
Xin Victoria Wang, Natalie Blades, Jie Ding, Razvan Sultana, Giovanni Parmigiani
Estimation of sequencing error rates in short reads. BMC Bioinform. 13 (2012)
Elana J. Fertig, Jie Ding, Alexander V. Favorov, Giovanni Parmigiani, Michael F. Ochs
CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data. Bioinform. 26 (21) (2010)
Xue Lin, Bahman Afsari, Luigi Marchionni, Leslie Cope, Giovanni Parmigiani, Daniel Q. Naiman, Donald Geman
The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations. BMC Bioinform. 10 (2009)
Rosemary Braun, Leslie Cope, Giovanni Parmigiani
Identifying differential correlation in gene/pathway combinations. BMC Bioinform. 9 (2008)
Corinne Dahinden, Giovanni Parmigiani, Mark C. Emerick, Peter Bühlmann
Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries. BMC Bioinform. 8 (2007)
Marianna Zahurak, Giovanni Parmigiani, Wayne Yu, Robert B. Scharpf, David Berman, Edward Schaeffer, Shabana Shabbeer, Leslie Cope
Pre-processing Agilent microarray data. BMC Bioinform. 8 (2007)
Mark C. Emerick, Giovanni Parmigiani, William S. Agnew
Multivariate Analysis and Visualization of Splicing Correlations in Single-Gene Transcriptomes. BMC Bioinform. 8 (2007)
Giovanni Parmigiani
Optimal Scheduling of Fallible Inspections. Oper. Res. 44 (2) (1996)