Author

P. Vizcarra

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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Biochemistry· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Jackson-Fisher· 1 shared C. Barbas· 1 shared D. Jimenez· 1 shared E. Moreno· 1 shared E. Powell· 1 shared J. Martinez-Sanz· 1 shared M. Sanchez-Conde· 1 shared O. E. Alboniga· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPathology

A. Jackson-Fisher

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2 papers

Recent·Most cited

Metabolic snapshot of plasma samples reveals new pathways implicated in SARS-CoV-2 pathogenesis

O. E. Alboniga, D. Jimenez, M. Sanchez-Conde, P. Vizcarra, R. Ron, S. Herrera, J. Martinez-Sanz, E. Moreno, S. Moreno, C. Barbas, S. Serrano-Villar

The paper uses metabolomics to identify metabolic pathways associated with SARS-CoV-2 susceptibility and COVID-19 severity in plasma samples.

bioRxiv · Sep 29, 2021Biochemistry

Pixelwise H-score: a novel digital image analysis based-metric to quantify membrane biomarker expression from immunohistochemistry images

S. Ram, P. Vizcarra, P. Whalen, S. Deng, A. Jackson-Fisher, S. Pirie-Shepherd, X. Xia, E. Powell

This paper introduces a new digital image analysis metric, the pixelwise H-score, to quantify membrane biomarker expression in IHC images, showing it is comparable or better than existing methods.

bioRxiv · Jan 6, 2021Pathology