Spatial transcriptomics prediction from histology jointly through Transformer and graph neural netwo...
Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks
About this item
Full title
Author / Creator
Publisher
Oxford: Oxford University Press
Journal title
Language
English
Formats
Publication information
Publisher
Oxford: Oxford University Press
Subjects
More information
Scope and Contents
Contents
Abstract
The rapid development of spatial transcriptomics allows the measurement of RNA abundance at a high spatial resolution, making it possible to simultaneously profile gene expression, spatial locations of cells or spots, and the corresponding hematoxylin and eosin-stained histology images. It turns promising to predict gene expression from...
Alternative Titles
Full title
Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_2691460340
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2691460340
Other Identifiers
ISSN
1467-5463
E-ISSN
1477-4054
DOI
10.1093/bib/bbac297
