Author

Elias Williams

MaRS

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

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Genetics· 1

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Research Focus:batch correction / integration· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Organism:mouse· 1 Assay:scRNA-seq· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Allison M.L. NixoniD· 1 shared Boris HinziD· 1 shared Brendan T. InnesiD· 1 shared Dylan MendoncaiD· 1 shared J. Javier Díaz-MejíaiD· 1 shared Matthew B. BuechleriD· 1 shared Octavian Focsa· 1 shared Ronen SchusteriD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperGenetics

Allison M.L. NixonORCID

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1 paper

Recent·Most cited

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, Octavian Focsa, Dylan Mendonca, Swechha Singh, Allison M.L. Nixon, Ronen Schuster, Matthew B. Buechler, Boris Hinz, 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.

bioRxiv · Aug 11, 2024 · PreprintGenetics