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 languageEnglish (US)
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
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

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

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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