Author

Lincoln J. Ombelets

California Institute of TechnologyORCID 0000-0002-5625-5411Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

David Van ValeniD· 1 shared Edward Pao· 1 shared Emily LaubscheriD· 1 shared Isabel Nadine GoronzyiD· 1 shared Jeffrey R. MoffittiD· 1 shared Jina YuniD· 1 shared Jonathan A. WhiteiD· 1 shared Long CaiiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

David Van ValenORCID

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2 papers

Recent·Most cited

GenomicsNaturePeer-reviewedApr 9, 2025

High-resolution spatial multi-omics reveals cell-type specific nuclear compartments

Yodai Takei, Yujing Yang, Jonathan A. White…·Long Cai

This study uses high-resolution spatial multi-omics to analyze subnuclear compartments in single cells, revealing cell-type specific chromatin structures and their genomic associations.

92 citationstop 1%

mousespatial transcriptomics

𝕏 PostBluesky

BioinformaticsCell SystemsPeer-reviewedMay 1, 2024

Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning

Emily Laubscher, Xuefei Julie Wang, Nitzan Razin…·David Van Valen

Polaris provides a deep learning-based pipeline for analyzing spatial transcriptomics data, improving spot detection and gene expression quantification.

25 citations

spatial transcriptomicsdeep learning

𝕏 PostBluesky