An efficient and accurate annotation method for spatial transcriptomics datasets, with the capability to effectively leverage a large number of non-marker genes as well as “qualitative” information about marker genes without using a reference dataset. Please check the website https://shufeyangyi2015310117.github.io/SpatialAnno/index.htm
This dataset contains annotated sub-cellular localised spatial measurements from the Visium, Xenium ...
You can find here the datasets used in the publication: "Charting the Heterogeneity of Colorectal ...
Technological advances have made it possible to measure spatially resolved gene expression at high t...
An efficient and accurate annotation method for spatial transcriptomics datasets, with the capabilit...
Probabilistic cell/domain-type assignment of spatial transcriptomics data with SpatialAnn
Recent advances in spatially resolved transcriptomics have greatly expandedthe knowledge of complex ...
SpatialDWLS is a tool to quantitatively estimate the cell-type composition at each spatial location ...
The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of tran...
Preprocessed datasets to reproduce figures for the manuscript "Alignment and Integration of Spatial ...
BackgroundSpatial transcriptomics (STs) simultaneously obtains the location and amount of gene expre...
BackgroundSpatial transcriptomics (STs) simultaneously obtains the location and amount of gene expre...
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomic
Background: Interest in studying the spatial distribution of gene expression in tissues is rapidly i...
Code necessary to reproduce the analyses presented in the manuscript: Celloscope: a probabilistic mo...
Spatially resolved transcriptomic analyses can reveal molecular insights underlying tissue structure...
This dataset contains annotated sub-cellular localised spatial measurements from the Visium, Xenium ...
You can find here the datasets used in the publication: "Charting the Heterogeneity of Colorectal ...
Technological advances have made it possible to measure spatially resolved gene expression at high t...
An efficient and accurate annotation method for spatial transcriptomics datasets, with the capabilit...
Probabilistic cell/domain-type assignment of spatial transcriptomics data with SpatialAnn
Recent advances in spatially resolved transcriptomics have greatly expandedthe knowledge of complex ...
SpatialDWLS is a tool to quantitatively estimate the cell-type composition at each spatial location ...
The rapid development of spatial transcriptomics (ST) techniques has allowed the measurement of tran...
Preprocessed datasets to reproduce figures for the manuscript "Alignment and Integration of Spatial ...
BackgroundSpatial transcriptomics (STs) simultaneously obtains the location and amount of gene expre...
BackgroundSpatial transcriptomics (STs) simultaneously obtains the location and amount of gene expre...
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomic
Background: Interest in studying the spatial distribution of gene expression in tissues is rapidly i...
Code necessary to reproduce the analyses presented in the manuscript: Celloscope: a probabilistic mo...
Spatially resolved transcriptomic analyses can reveal molecular insights underlying tissue structure...
This dataset contains annotated sub-cellular localised spatial measurements from the Visium, Xenium ...
You can find here the datasets used in the publication: "Charting the Heterogeneity of Colorectal ...
Technological advances have made it possible to measure spatially resolved gene expression at high t...