Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues
Spatial transcriptomics (ST) technologies generate multiple data types from biological
samples, namely gene expression, physical distance between data points, and/or tissue …
samples, namely gene expression, physical distance between data points, and/or tissue …
stLearn: integrating spatial location, tissue morphology and gene expression to find cell types, cell-cell interactions and spatial trajectories within undissociated tissues
Spatial Transcriptomics is an emerging technology that adds spatial dimensionality and
tissue morphology to the genome-wide transcriptional profile of cells in an undissociated …
tissue morphology to the genome-wide transcriptional profile of cells in an undissociated …
An introduction to spatial transcriptomics for biomedical research
CG Williams, HJ Lee, T Asatsuma, R Vento-Tormo… - Genome Medicine, 2022 - Springer
Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over
the past decade, particularly in developmental biology, cancer, immunology, and …
the past decade, particularly in developmental biology, cancer, immunology, and …
SPACEL: deep learning-based characterization of spatial transcriptome architectures
H Xu, S Wang, M Fang, S Luo, C Chen, S Wan… - Nature …, 2023 - nature.com
Spatial transcriptomics (ST) technologies detect mRNA expression in single cells/spots
while preserving their two-dimensional (2D) spatial coordinates, allowing researchers to …
while preserving their two-dimensional (2D) spatial coordinates, allowing researchers to …
Advances in spatial transcriptomic data analysis
Spatial transcriptomics is a rapidly growing field that promises to comprehensively
characterize tissue organization and architecture at the single-cell or subcellular resolution …
characterize tissue organization and architecture at the single-cell or subcellular resolution …
DSTG: deconvoluting spatial transcriptomics data through graph-based artificial intelligence
Recent development of spatial transcriptomics (ST) is capable of associating spatial
information at different spots in the tissue section with RNA abundance of cells within each …
information at different spots in the tissue section with RNA abundance of cells within each …
Spatial transcriptomics at subspot resolution with BayesSpace
Recent spatial gene expression technologies enable comprehensive measurement of
transcriptomic profiles while retaining spatial context. However, existing analysis methods …
transcriptomic profiles while retaining spatial context. However, existing analysis methods …
Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
The rapid emergence of spatial transcriptomics (ST) technologies is revolutionizing our
understanding of tissue spatial architecture and biology. Although current ST methods …
understanding of tissue spatial architecture and biology. Although current ST methods …
[HTML][HTML] Open-ST: High-resolution spatial transcriptomics in 3D
Spatial transcriptomics (ST) methods unlock molecular mechanisms underlying tissue
development, homeostasis, or disease. However, there is a need for easy-to-use, high …
development, homeostasis, or disease. However, there is a need for easy-to-use, high …
Alignment and integration of spatial transcriptomics data
Spatial transcriptomics (ST) measures mRNA expression across thousands of spots from a
tissue slice while recording the two-dimensional (2D) coordinates of each spot. We …
tissue slice while recording the two-dimensional (2D) coordinates of each spot. We …