Belayer: Modeling Discrete and Continuous Spatial Variation in Gene Expression from Spatially Resolved Transcriptomics

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Research in Computational Molecular Biology (RECOMB 2022)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13278))

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Abstract

Motivation: Spatially resolved transcriptomics (SRT) technologies simultaneously measure gene expression and spatial location of cells in a 2D tissue slice, enabling the study of spatial patterns of gene expression.

Cong Ma and Uthsav Chitra contributed equally and author order was decided by a coin toss.

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Correspondence to Benjamin J. Raphael .

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Ma, C., Chitra, U., Zhang, S., Raphael, B.J. (2022). Belayer: Modeling Discrete and Continuous Spatial Variation in Gene Expression from Spatially Resolved Transcriptomics. In: Pe'er, I. (eds) Research in Computational Molecular Biology. RECOMB 2022. Lecture Notes in Computer Science(), vol 13278. Springer, Cham. https://doi.org/10.1007/978-3-031-04749-7_33

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  • DOI: https://doi.org/10.1007/978-3-031-04749-7_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-04748-0

  • Online ISBN: 978-3-031-04749-7

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