Author

Christine Hou

Johns Hopkins UniversityORCID 0009-0001-5350-0629Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Stephanie C. HicksiD· 3 shared Jacqueline R. ThompsoniD· 2 shared Anthony D. RamnauthiD· 1 shared Elizabeth A. PattieiD· 1 shared Erik D. NelsoniD· 1 shared Fédérico MariniiD· 1 shared Heena R. DivechaiD· 1 shared Jianing YaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersGenomics

Stephanie C. HicksORCID

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3 papers

Recent·Most cited

GenomicsBioinformaticsPeer-reviewedJul 1, 2026

BatchSVG: identifying batch-biased genes in the application of spatially variable gene detection

Kinnary Shah, Christine Hou, Jacqueline R. Thompson, Stephanie C. Hicks

BatchSVG identifies batch-biased genes in spatially variable gene detection to improve downstream analyses by removing technical artifacts.

DOI 10.1093/bioinformatics/btag522

spatial transcriptomicsstatistical model

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NeuroscienceNature NeurosciencePeer-reviewedJul 30, 2025

An integrated single-nucleus and spatial transcriptomics atlas reveals the molecular landscape of the human hippocampus

Jacqueline R. Thompson, Erik D. Nelson, Madhavi Tippani…·Stephanie C. Hicks

The paper integrates single-nucleus and spatial transcriptomics data to map the molecular landscape of the human hippocampus, identifying cell types and spatial domains.

47 citationstop 1%

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BioinformaticsBioinformatics AdvancesPeer-reviewedDec 26, 2024

HuBMAPR: an R Client for the HuBMAP Data Portal

Christine Hou, Shila Ghazanfar, Fédérico Marini…·Stephanie C. Hicks

HuBMAPR provides an R client for accessing HuBMAP data, enabling efficient programmatic discovery and retrieval of spatial-resolution biological data.

DOI 10.1093/bioadv/vbaf048

experimental assaydatabase / resource

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