Understanding Deep Learning To Integrate Histology With Spatial Transcriptomics
Exploring Deep Learning To Integrate Histology With Spatial Transcriptomics reveals several interesting facts. Presented By: James Zou Speaker Biography: James Zou is an assistant professor of biomedical data science and, by courtesy, ...
Key Takeaways about Deep Learning To Integrate Histology With Spatial Transcriptomics
- Spatial transcriptomics
- Assessing gene expression with morphological context is critical to our understanding of biology and the progression of disease.
- Interrogation of complex, heterogeneous tissues requires tools that enable the assessment of gene expression profiles and
- CrAIC Digital
- Nancy Zhang Professor of Statistics and Data Science, University of Pennsylvania Dr. Zhang is Professor of Statistics and Data ...
Detailed Analysis of Deep Learning To Integrate Histology With Spatial Transcriptomics
Presented By: James Zou Speaker Biography: James Zou is an assistant professor of biomedical data science and, by courtesy, ... ... through here's another example from a tumor uh here's the Spatial transcriptomics
This lecture was recorded at the ITN-CONTRA workshop in Warsaw, Poland 2018. CONTRA (Computational ONcology TRaining ...
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