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Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors

Minxing Pang, Kenong Su, View ORCID ProfileMingyao Li
doi: https://doi.org/10.1101/2021.11.28.470212
Minxing Pang
1Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
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Kenong Su
2Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, USA
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  • For correspondence: suken@pennmedicine.upenn.edu mingyao@pennmedicine.upenn.edu
Mingyao Li
2Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, USA
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  • ORCID record for Mingyao Li
  • For correspondence: suken@pennmedicine.upenn.edu mingyao@pennmedicine.upenn.edu
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Posted November 28, 2021.
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Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors
Minxing Pang, Kenong Su, Mingyao Li
bioRxiv 2021.11.28.470212; doi: https://doi.org/10.1101/2021.11.28.470212
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Leveraging information in spatial transcriptomics to predict super-resolution gene expression from histology images in tumors
Minxing Pang, Kenong Su, Mingyao Li
bioRxiv 2021.11.28.470212; doi: https://doi.org/10.1101/2021.11.28.470212

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