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Giovanni Parmigiani
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2020 – today
- 2023
- [i9]Giovanni Parmigiani:
Defining Replicability of Prediction Rules. CoRR abs/2305.01518 (2023) - [i8]Yujie Wu, Giovanni Parmigiani, Boyu Ren:
Multi-source domain adaptation for regression. CoRR abs/2312.05460 (2023) - 2022
- [i7]Cathy Shyr, Pragya Sur, Giovanni Parmigiani, Prasad Patil:
Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling. CoRR abs/2207.04588 (2022) - 2021
- [j16]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) - [j15]Yuqing Zhang, Prasad Patil, W. Evan Johnson, Giovanni Parmigiani:
Robustifying genomic classifiers to batch effects via ensemble learning. Bioinform. 37(11): 1521-1527 (2021) - [i6]Maya Ramchandran, Rajarshi Mukherjee, Giovanni Parmigiani:
Cross-Cluster Weighted Forests. CoRR abs/2105.07610 (2021) - [i5]Zoe Guan, Giovanni Parmigiani, Danielle Braun, Lorenzo Trippa:
Prediction of Hereditary Cancers Using Neural Networks. CoRR abs/2106.13682 (2021) - [i4]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 abs/2109.09164 (2021) - 2020
- [j14]Giovanni Parmigiani:
Receiver operating characteristic curves with an indeterminacy zone. Pattern Recognit. Lett. 136: 94-100 (2020) - [c1]Maya Ramchandran, Prasad Patil, Giovanni Parmigiani:
Tree-Weighting for Multi-Study Ensemble Learners. PSB 2020: 451-462 - [i3]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 abs/2006.11478 (2020)
2010 – 2019
- 2019
- [i2]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 abs/1904.12617 (2019) - [i1]Zoe Guan, Giovanni Parmigiani, Prasad Patil:
Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects. CoRR abs/1905.07382 (2019) - 2014
- [j13]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): 105-112 (2014) - [j12]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): 3062-3069 (2014) - [j11]Leslie Cope, Daniel Q. Naiman, Giovanni Parmigiani:
Integrative correlation: Properties and relation to canonical correlations. J. Multivar. Anal. 123: 270-280 (2014) - 2013
- [j10]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) - [j9]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): 1865-1871 (2013) - 2012
- [j8]Xin Victoria Wang, Natalie Blades, Jie Ding, Razvan Sultana, Giovanni Parmigiani:
Estimation of sequencing error rates in short reads. BMC Bioinform. 13: 185 (2012) - 2010
- [j7]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): 2792-2793 (2010)
2000 – 2009
- 2009
- [j6]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) - 2008
- [j5]Rosemary Braun, Leslie Cope, Giovanni Parmigiani:
Identifying differential correlation in gene/pathway combinations. BMC Bioinform. 9 (2008) - 2007
- [j4]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) - [j3]Mark C. Emerick, Giovanni Parmigiani, William S. Agnew:
Multivariate Analysis and Visualization of Splicing Correlations in Single-Gene Transcriptomes. BMC Bioinform. 8 (2007) - [j2]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)
1990 – 1999
- 1996
- [j1]Giovanni Parmigiani:
Optimal Scheduling of Fallible Inspections. Oper. Res. 44(2): 360-367 (1996)
Coauthor Index
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