Author

G. Parmigiani

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cancer Biology· 2 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:clustering· 2 Research Focus:differential expression· 2 Research Focus:batch correction / integration· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

L. Geistlinger· 2 shared L. Waldron· 2 shared M. Birrer· 2 shared A. C. Nelson· 1 shared B. Haibe-Kains· 1 shared B. Winterhoff· 1 shared C. Daughters· 1 shared C. Henzler· 1 shared

Activity by Year

2017-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersCancer Biology

L. Geistlinger

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Author profile →

3 papers

Recent·Most cited

Extent, impact, and mitigation of batch effects in tumor biomarker studies using tissue microarrays

K. H. Stopsack, S. Tyekucheva, M. Wang, T. A. Gerke, J. B. Vaselkiv, K. L. Penney, P. W. Kantoff, S. P. Finn, M. Fiorentino, M. Loda, T. L. Lotan, G. Parmigiani, L. A. Mucci

This study assesses batch effects in TMA-based cancer biomarker studies and shows mitigation methods reduce variance and alter clinical associations.

bioRxiv · Jun 29, 2021Pathology

Multi-omic analysis of subtype evolution and heterogeneity in high-grade serous ovarian carcinoma

L. Geistlinger, S. Oh, M. Ramos, L. Schiffer, R. LaRue, C. Henzler, S. Munro, C. Daughters, A. C. Nelson, B. Winterhoff, Z. Chang, S. Talukda, M. Shetty, S. Mullany, M. Morgan, , L. Waldron

This paper investigates the evolution and heterogeneity of high-grade serous ovarian carcinoma using multi-omic analysis, finding that subtypes emerge later in tumor development and are not discrete but rather part of a continuous spectrum.

bioRxiv · Jun 12, 2020Cancer Biology

Consensus on Molecular Subtypes of Ovarian Cancer

G. M. Chen, L. Kannan, L. Geistlinger, V. Kofia, Z. Safikhani, D. M. A. Gendoo, G. Parmigiani, M. Birrer, B. Haibe-Kains, L. Waldron

The paper evaluates three ovarian cancer subtype classifiers, finds they are not robust, and proposes a consensus classifier with a 100-gene signature that improves stratification of a minority of tumors.

bioRxiv · Jul 12, 2017Cancer Biology