Author

Paulo E. P. Burke

Universidade de São PauloORCID 0000-0002-9640-299XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ann StrangeiD· 1 shared Brian Thompson· 1 shared Carol M. AmatoiD· 1 shared David Michael WoodsiD· 1 shared Emily M. MonkiD· 1 shared Luciano da Fontoura CostaiD· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

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1 shared paperBioinformatics

Ann StrangeORCID

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2 papers

Recent·Most cited

PhenoComb: A discovery tool to assess complex phenotypes in high-dimension, single-cell datasets

Paulo E. P. Burke, Ann Strange, Emily M. Monk, Brian Thompson, Carol M. Amato, David Michael Woods

PhenoComb assesses all marker combinations in high-dimensional single-cell data to identify complex phenotypes, finding relevant immune phenotypes in HIV and COVID datasets.

Bioinformatics Advances · Jan 1, 2022Peer-reviewedBioinformatics

Accelerated Simulation of Large Reaction Systems Using a Constraint-Based Algorithm

Paulo E. P. Burke, Luciano da Fontoura Costa

This paper introduces a constraint-based algorithm for simulating large reaction systems, showing it outperforms existing methods in computational efficiency for high molecule and reaction channel counts.

bioRxiv · Oct 31, 2020 · PreprintSystems Biology