Author

Dylan Mendonca

MaRSORCID 0000-0002-9090-5668Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:scRNA-seq· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

J. Javier Díaz-MejíaiD· 2 shared Octavian Focsa· 2 shared Sam Cooper· 2 shared Allison M.L. NixoniD· 1 shared Boris HinziD· 1 shared Brendan T. InnesiD· 1 shared Elias Williams· 1 shared Matthew B. BuechleriD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenetics

J. Javier Díaz-MejíaORCID

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2 papers

Recent·Most cited

GeneticsbioRxivPreprintAug 11, 2024

Adversarial learning enables unbiased organism-wide cross-species alignment of single-cell RNA data at scale

J. Javier Díaz-Mejía, Elias Williams, Brendan T. Innes…·Sam Cooper

This paper introduces a method to align single-cell RNA data across species and tissues using adversarial learning, revealing common cell types like macrophages and fibroblasts.

1 citation

humanmouse

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BioinformaticsbioRxivPreprintDec 8, 2021

scMARK an 'MNIST' like benchmark to evaluate and optimize models for unifying scRNA data

Swechha, Dylan Mendonca, Octavian Focsa…·Sam Cooper

The paper introduces scMARK, a benchmark dataset and framework to evaluate scRNA integration tools, finding that scVI is the only tool tested capable of integrating scRNA studies at scale.

1 citation

scRNA-seqstatistical model

𝕏 PostBluesky