Author

Lilach Aizenbud

Yale Cancer Center

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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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

David L. RimmiD· 1 shared Harriet M. KlugeriD· 1 shared Joseph M Cunningham· 1 shared Kurt Alex SchalperiD· 1 shared Ronen TalmoniD· 1 shared Shay Shimonov· 1 shared Shruti J Desai· 1 shared Yuval KlugeriD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

David L. RimmORCID

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1 paper

Recent·Most cited

SORBET: Automated cell-neighborhood analysis of spatial transcriptomics or proteomics for interpretable sample classification via GNN

Shay Shimonov, Joseph M Cunningham, Ronen Talmon, Lilach Aizenbud, Shruti J Desai, David L. Rimm, Kurt Alex Schalper, Harriet M. Kluger, Yuval Kluger

SORBET uses geometric deep learning to predict phenotypes from spatial transcriptomics and proteomics data, showing improved accuracy over existing methods.

bioRxiv · Dec 30, 2023 · PreprintBioinformatics