Author

Lei Xie

City University of New YorkORCID 0000-0002-3261-8564Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Lei Xie6 papers · The Graduate Center, CUNY

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Ping ZhangiD· 1 shared Thai-Hoang PhamiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

Ping ZhangORCID

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1 paper

Recent·Most cited

FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery

Thai-Hoang Pham, Lei Xie, Ping Zhang

FAME generates novel molecules with desired biological activity by learning from gene expression data using a conditional variational autoencoder and fragment-based generation.

Society for Industrial and Applied Mathematics eBooks · Jan 1, 2022Peer-reviewedBioinformatics