Computational and Statistical Methods for Analysis of Spatial Transcriptomics Data
Spatial transcriptomics technologies are an emerging class of high-throughput sequencing methodologies for measuring gene expression at near single-cell resolution at spatiallydefined measurement spots across a biological tissue. We show how measuring cells in their native environment has the potent...
Main Author: | Cable, Dylan Maxwell |
---|---|
Other Authors: | Irizarry, Rafael A. |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/152008 |
Similar Items
-
Detection of allele-specific expression in spatial transcriptomics with spASE
by: Zou, Luli S., et al.
Published: (2024) -
Panpipes: a pipeline for multiomic single-cell and spatial transcriptomic data analysis
by: Curion, F, et al.
Published: (2024) -
Spatial statistical analysis
by: Oreena Raveendran
Published: (2024) -
Integrating Spatial Transcriptomics Data for Cross-Species Molecular Region Comparison
by: Li, Bridget
Published: (2024) -
Statistical analysis of spatial point patterns
by: Choo, Yu Liang
Published: (2022)