Parmigiani, G. (Giovanni)
Parmigiani, Giovanni, 19..-....
Parmigiani, Giovanni.
Giovanni Parmigiani biostatistician
VIAF ID: 50167076 (Personal)
Permalink: http://viaf.org/viaf/50167076
Preferred Forms
- 100 0 _ ‡a Giovanni Parmigiani ‡c biostatistician
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- 100 1 0 ‡a Parmigiani, G. ‡q (Giovanni)
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- 100 1 _ ‡a Parmigiani, G. ‡q (Giovanni)
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- 100 1 _ ‡a Parmigiani, Giovanni ‡d 19..-...
- 100 1 _ ‡a Parmigiani, Giovanni, ‡d 19..-....
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4xx's: Alternate Name Forms (5)
5xx's: Related Names (1)
- 510 2 _ ‡a Johns Hopkins University
Works
Title | Sources |
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The Analysis of gene expression data : methods and software | |
Applied Spatial Data Analysis with R | |
Bayesian computation with R | |
Clinical Factors Associated With Gastric Cancer in Individuals With Lynch Syndrome | |
ComBat-seq: batch effect adjustment for RNA-seq count data | |
Decision theory : principles and approaches | |
Family History of Breast or Prostate Cancer and Prostate Cancer Risk | |
Gene Expression Pathways in Prostate Tissue Associated with Vigorous Physical Activity in Prostate Cancer | |
The impact of stroma on the discovery of molecular subtypes and prognostic gene signatures in serous ovarian cancer: | |
Influenza Vaccination and COVID19 Mortality in the USA | |
Modeling in medical decision making, c2002: | |
Multi-omic analysis of subtype evolution and heterogeneity in high-grade serous ovarian carcinoma | |
Multiplex immunofluorescence in formalin-fixed paraffin-embedded tumor tissue to identify single cell-level PI3K pathway activation | |
Pathological complete response after neoadjuvant chemotherapy and impact on breast cancer recurrence and survival: a comprehensive meta-analysis | |
Penetrance of Breast and Ovarian Cancer in Women Who Carry a BRCA1/2 Mutation and Do Not Use Risk-Reducing Salpingo-Oophorectomy: An Updated Meta-Analysis | |
Penetrance of Colorectal Cancer Among Mismatch Repair Gene Mutation Carriers: A Meta-Analysis | |
Practical implementation of frailty models in Mendelian risk prediction | |
Precision Prevention and Early Detection of Cancer: Fundamental Principles | |
Training replicable predictors in multiple studies. | |
Use R! | |
Variation in cancer risk among families with genetic susceptibility |