Author

Evan A. Thomas

The University of MelbourneORCID 0000-0001-7742-2031Unclaimed ORCID profile · follow to get notified of new preprints

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Evan A. Thomas2 papers · Hope College

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Anthony T. PapenfussiD· 1 shared Charis E. TehiD· 1 shared Daniel H.D. GrayiD· 1 shared Edward Dann· 1 shared Mark R. DowlingiD· 1 shared Martin ModrákiD· 1 shared Michelle RuhleiD· 1 shared Nicole GottscheberiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Anthony T. PapenfussORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 25, 2023

A quantitative molecular model of the lymphocyte death timer

Michelle Ruhle, Evan A. Thomas, Edward Dann…·Philip D. Hodgkin

The paper identifies a protein-threshold mechanism that predicts lymphocyte death time using single-cell measurements and BH3 mimetic compounds.

2 citations

humanproteomics

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BioinformaticsbioRxivPreprintFeb 27, 2020

A Bayesian inference tool for identifying artifactual calls from differential transcript abundance analyses

Stefano Mangiola, Evan A. Thomas, Martin Modrák, Anthony T. Papenfuss

The paper introduces ppcseq, a Bayesian tool to detect artifactual calls in differential transcript abundance analyses by identifying outliers in negative binomial models.

DOI 10.1101/2020.02.27.967240

bulk RNA-seqBayesian inference

𝕏 PostBluesky