Author

Adam Lee

University of MinnesotaPrimary ORCID profile (0000-0001-8634-3722 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Adam LeeiD1 paper · University of Nottingham

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Anand G. PateliD· 1 shared Danielle MaeseriD· 1 shared Israa G. AbdelbariD· 1 shared R. Stephanie HuangiD· 1 shared Robert F. GrueneriD· 1 shared Sampreeti JenaiD· 1 shared Weijie ZhangiD· 1 shared Yingbo HuangiD· 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

Anand G. PatelORCID

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Author profile →

1 paper

Recent·Most cited

Inferring therapeutic vulnerability within tumors through integration of pan-cancer cell line and single-cell transcriptomic profiles

Weijie Zhang, Danielle Maeser, Adam Lee, Yingbo Huang, Robert F. Gruener, Israa G. Abdelbar, Sampreeti Jena, Anand G. Patel, R. Stephanie Huang

This paper introduces scIDUC, a computational framework that predicts drug response at the single-cell level by integrating single-cell transcriptomics with pan-cancer cell line data, showing high accuracy in identifying therapeutic vulnerabilities.

bioRxiv · Oct 29, 2023 · PreprintBioinformatics