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Discovery of interpretable patterning rules by integrating mechanistic modeling and deep learning
View ORCID ProfileJia Lu, Nan Luo, Sizhe Liu, Kinshuk Sahu, Rohan Maddamsetti, Yasa Baig, Lingchong You
doi: https://doi.org/10.1101/2024.09.02.610872
Jia Lu
1Department of Biomedical Engineering, Duke University, Durham, NC, USA 27708
2Center for Quantitative Biodesign, Duke University, Durham, NC, USA 27708
Nan Luo
1Department of Biomedical Engineering, Duke University, Durham, NC, USA 27708
Sizhe Liu
1Department of Biomedical Engineering, Duke University, Durham, NC, USA 27708
2Center for Quantitative Biodesign, Duke University, Durham, NC, USA 27708
Kinshuk Sahu
1Department of Biomedical Engineering, Duke University, Durham, NC, USA 27708
2Center for Quantitative Biodesign, Duke University, Durham, NC, USA 27708
Rohan Maddamsetti
1Department of Biomedical Engineering, Duke University, Durham, NC, USA 27708
2Center for Quantitative Biodesign, Duke University, Durham, NC, USA 27708
Yasa Baig
3Department of Applied Mathematics and Theoretical Physics, University of Cambridge University, Cambridge, UK CB3 0WA
Lingchong You
1Department of Biomedical Engineering, Duke University, Durham, NC, USA 27708
2Center for Quantitative Biodesign, Duke University, Durham, NC, USA 27708
4Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA 27708
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Posted October 28, 2024.
Discovery of interpretable patterning rules by integrating mechanistic modeling and deep learning
Jia Lu, Nan Luo, Sizhe Liu, Kinshuk Sahu, Rohan Maddamsetti, Yasa Baig, Lingchong You
bioRxiv 2024.09.02.610872; doi: https://doi.org/10.1101/2024.09.02.610872
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