Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression is a research paper published in Briefings in Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 42 times.
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National Science Foundation
Grant: IIS 1845666
National Science Foundation
Grant: 1852606
BIGDATA: Collaborative Research: IA: Big Imaging-Omics Data Mining Framework for Precision Medicine
National Science Foundation
Grant: 1838627
SCH: INT: New Machine Learning Framework to Conduct Anesthesia Risk Stratification and Decision Support for Precision Health
National Science Foundation
Grant: 1837956
BIGDATA: IA: Collaborative Research: Asynchronous Distributed Machine Learning Framework for Multi-Site Collaborative Brain Big Data Mining
National Science Foundation
Grant: 1956002
III: Medium: Collaborative Research: Integrating Large-Scale Machine Learning and Edge Computing for Collaborative Autonomous Vehicles
National Institutes of Health
Grant: P01AI106684
National Institutes of Health
Grant: R01HL137709
National Institutes of Health
Grant: P30CA008748
National Institutes of Health
Grant: U19AG055373
NIAID NIH HHS
Grant: R01 AI153104
NIAID NIH HHS
Grant: R21 AI156093
UPMC Children’s Hospital of Pittsburgh
University of Pittsburgh Center for Research Computing
FWCI
7.08
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals