Gene count normalization in single-cell imaging-based spatially resolved transcriptomics
Background Recent advances in imaging-based spatially resolved transcriptomics (im-SRT)
technologies now enable high-throughput profiling of targeted genes and their locations in …
technologies now enable high-throughput profiling of targeted genes and their locations in …
SpotSweeper: spatially-aware quality control for spatial transcriptomics
Quality control (QC) is a crucial step to ensure the reliability and accuracy of the data
obtained from RNA sequencing experiments, including spatially-resolved transcriptomics …
obtained from RNA sequencing experiments, including spatially-resolved transcriptomics …
Identifying Differential Spatial Expression Patterns across Different Slices, Conditions and Developmental Stages with Interpretable Deep Learning
Y Cui, Z Yuan - bioRxiv, 2024 - biorxiv.org
Spatially resolved transcriptomics technologies enable the mapping of multiplexed gene
expression profiles within tissue contexts. To explore the gene spatial patterns in complex …
expression profiles within tissue contexts. To explore the gene spatial patterns in complex …
Rapid and memory-efficient analysis and quality control of large spatial transcriptomics datasets
B Kover, A Vigilante - bioRxiv, 2024 - biorxiv.org
The 10x Visium spatial transcriptomics platform has been widely adopted due to its
established analysis pipelines, robust community support, and manageable data output …
established analysis pipelines, robust community support, and manageable data output …