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STAN, a computational framework for inferring spatially informed transcription factor activity
Linan Zhang, April Sagan, Bin Qin, View ORCID ProfileElena Kim, Baoli Hu, View ORCID ProfileHatice Ulku Osmanbeyoglu
doi: https://doi.org/10.1101/2024.06.26.600782
Linan Zhang
1Department of Applied Mathematics, School of Mathematics and Statistics, Ningbo University, Ningbo, Zhejiang 315211, China
April Sagan
2Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15206, USA
3UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, USA
Bin Qin
4Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
5Division of Pediatric Neurosurgery, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
Elena Kim
2Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15206, USA
3UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, USA
Baoli Hu
4Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
5Division of Pediatric Neurosurgery, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
Hatice Ulku Osmanbeyoglu
2Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15206, USA
3UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, USA
6Department of Bioengineering, University of Pittsburgh School of Engineering, Pittsburgh, PA 15219, USA
7Department of Biostatistics, University of Pittsburgh School of Public Health, Pittsburgh, PA 15261, USA
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Posted September 03, 2024.
STAN, a computational framework for inferring spatially informed transcription factor activity
Linan Zhang, April Sagan, Bin Qin, Elena Kim, Baoli Hu, Hatice Ulku Osmanbeyoglu
bioRxiv 2024.06.26.600782; doi: https://doi.org/10.1101/2024.06.26.600782
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