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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-04749-7_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-04748-0
Online ISBN: 978-3-031-04749-7
eBook Packages: Computer ScienceComputer Science (R0)