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

Cong Ma, Uthsav Chitra, Shirley Zhang, Benjamin J. Raphael

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageAmerican English
Title of host publicationResearch in Computational Molecular Biology - 26th Annual International Conference, RECOMB 2022, Proceedings
EditorsItsik Pe’er
PublisherSpringer Science and Business Media Deutschland GmbH
Pages372-373
Number of pages2
ISBN (Print)9783031047480
DOIs
StatePublished - 2022
Event26th International Conference on Research in Computational Molecular Biology, RECOMB 2022 - San Diego, United States
Duration: May 22 2022May 25 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13278 LNBI

Conference

Conference26th International Conference on Research in Computational Molecular Biology, RECOMB 2022
Country/TerritoryUnited States
CitySan Diego
Period5/22/225/25/22

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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