Author

Joseph Lee

Agency for Science, Technology and ResearchORCID 0000-0002-4983-4714Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Joseph Lee2 papers · Emory University

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Andre SimiD· 1 shared Erica Mei Ling TeoiD· 1 shared Hwee Kuan LeeiD· 1 shared Jinyue LiuiD· 1 shared Jonathan AowiD· 1 shared Jonathan GökeiD· 1 shared Keith YeoiD· 1 shared Kok Hao CheniD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Andre SimORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BANKSY: A Spatial Omics Algorithm that Unifies Cell Type Clustering and Tissue Domain Segmentation

Vipul Singhal, Nigel Chou, Joseph Lee, Yifei Yue, Jinyue Liu, Wan Kee Chock, Li Lin, Yun‐Ching Chang, Erica Mei Ling Teo, Jonathan Aow, Hwee Kuan Lee, Kok Hao Chen, Shyam Prabhakar

BANKSY integrates cell type clustering and tissue domain segmentation using spatial transcriptomic data, identifying novel niche-dependent cell states in mouse brain regions.

Nature Genetics · Feb 27, 2024Peer-reviewedBioinformatics

Context-Aware Transcript Quantification from Long Read RNA-Seq data with Bambu

Ying Chen, Andre Sim, Yuk Kei Wan, Keith Yeo, Joseph Lee, Min Hao Ling, Michael I. Love, Jonathan Göke

Bambu improves transcript quantification from long-read RNA-Seq by using context-aware annotations, enhancing precision without sacrificing sensitivity.

Nature Methods · Jun 12, 2023Peer-reviewedBioinformatics