Author

Adam K. Lerer

Meta (United States)ORCID 0000-0002-5216-6542Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:graph neural network· 2 Research Focus:batch correction / integration· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Assay:multiome· 1 Research Focus:protein design· 1

Frequent Co-Authors

Alexander W. RivesiD· 1 shared Brian HieiD· 1 shared Chloe HsuiD· 1 shared Huidong CheniD· 1 shared Jason J. LiuiD· 1 shared Jayoung RyuiD· 1 shared Luca PinelloiD· 1 shared Michael E. VinyardiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperSystems Biology

Alexander W. RivesORCID

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2 papers

Recent·Most cited

BioinformaticsNature MethodsPeer-reviewedMay 29, 2023

SIMBA: SIngle-cell eMBedding Along with features

Huidong Chen, Jayoung Ryu, Michael E. Vinyard…·Luca Pinello

SIMBA is a graph embedding method that jointly embeds single cells and their features into a common space, enabling diverse single-cell analysis tasks.

86 citationstop 1%

scRNA-seqscATAC-seq

Systems BiologybioRxivPreprintApr 10, 2022

✦ In-depth digest

Learning inverse folding from millions of predicted structures

Chloe Hsu, Robert Verkuil, Jason J. Liu…·Alexander W. Rives

Adding 12 million AlphaFold2-predicted structures to training lifts native sequence recovery on held-out backbones to 51.6%, versus 42.2% for the best experimental-only model; likelihoods score mutation effects zero-shot.

438 citations

protein structureprotein sequence