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AI and Machine Learning in Single Cell Genomics - Day 2
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- 1 Spatial Tissue Profiling: from a Novelty to a Discovery Powerhouse, Ioannis Vlachos, Harvard Medical School
- 2 Studying Single Cells Through Multi-Omics and Spatiotemporal Context, Xiuwei Zhang, Georgia Tech
- 3 BREAK
- 4 Spatial Morphoproteomic Features Predict Uniqueness of Immune Microarchitectures and Responses in Lymphoid Follicles, Thomas Hu, Georgia Tech
- 5 Spatial Location Encoded in Gene Expression: A New Analytical Approach to Spatial Transcriptomics, Yeojin Kim, Georgia Tech
- 6 parDoub: Parallelized Doublet Detection for scRNA-seq, Kiersten Campbell, Emory
- 7 Discovering Cell Types and States from Reference with Heterogeneous Single-Cell ATAC-Seq Features, Yuqi Cheng, Georgia Tech
- 8 LUNCH BREAK/POSTER SESSION OFFLINE
- 9 Awards Session
- 10 Closing Remarks, Manoj Bhasin & Saurabh Sinha
