ScribbleDom: Using Scribble-Annotated Histology Images to Identify Domains in Spatial Transcriptomics Data, release 1.0.0.
Motivation: Visual assessment of scanned tissue samples and associated molecular markers, such as ge...
Background: Interest in studying the spatial distribution of gene expression in tissues is rapidly i...
Technological advances have made it possible to measure spatially resolved gene expression at high t...
Spatial transcriptomics technology is increasingly being applied because it enables the measurement ...
Thesis (Master's)--University of Washington, 2023Recent developments in single-cell RNA sequencing (...
Recent advances in spatially resolved transcriptomics have greatly expandedthe knowledge of complex ...
An efficient and accurate annotation method for spatial transcriptomics datasets, with the capabilit...
Recent developments in spatially resolved transcriptomics (SRT) technologies have enabled scientists...
Spatial transcriptomics produces high-dimensional gene expression measurements while retaining their...
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomic
BackgroundSpatial transcriptomics (STs) simultaneously obtains the location and amount of gene expre...
Background and objectives: Spatially resolved techniques for exploring the molecular landscape of ti...
The submitted dataset, correspond to the RAW (*.czi format) and analysis files of the manuscript "SC...
This release is linked to the article "3-dimensional molecular cartography of human cerebral organoi...
Preprocessed datasets to reproduce figures for the manuscript "Alignment and Integration of Spatial ...
Motivation: Visual assessment of scanned tissue samples and associated molecular markers, such as ge...
Background: Interest in studying the spatial distribution of gene expression in tissues is rapidly i...
Technological advances have made it possible to measure spatially resolved gene expression at high t...
Spatial transcriptomics technology is increasingly being applied because it enables the measurement ...
Thesis (Master's)--University of Washington, 2023Recent developments in single-cell RNA sequencing (...
Recent advances in spatially resolved transcriptomics have greatly expandedthe knowledge of complex ...
An efficient and accurate annotation method for spatial transcriptomics datasets, with the capabilit...
Recent developments in spatially resolved transcriptomics (SRT) technologies have enabled scientists...
Spatial transcriptomics produces high-dimensional gene expression measurements while retaining their...
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomic
BackgroundSpatial transcriptomics (STs) simultaneously obtains the location and amount of gene expre...
Background and objectives: Spatially resolved techniques for exploring the molecular landscape of ti...
The submitted dataset, correspond to the RAW (*.czi format) and analysis files of the manuscript "SC...
This release is linked to the article "3-dimensional molecular cartography of human cerebral organoi...
Preprocessed datasets to reproduce figures for the manuscript "Alignment and Integration of Spatial ...
Motivation: Visual assessment of scanned tissue samples and associated molecular markers, such as ge...
Background: Interest in studying the spatial distribution of gene expression in tissues is rapidly i...
Technological advances have made it possible to measure spatially resolved gene expression at high t...
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