Birs- 23w5090: Single-Cell Plus - Data Science Challenges in Single-Cell Research
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Title: Statistical challenges in Single-Cell RNA-Seq and spatial transcriptomics
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Title: Spatial Deconvolution Method Considering Platform Effect Removal, Sparsity and Spatial Information
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Title: SpatialScope: A unified approach for integrating spatial and single-cell transcriptomics data using deep generative models
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Title: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data
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Title: Rethinking assumptions in spatial molecular data analysis: the role and impact of library size normalisation
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Title: Discussion
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Title: Gene set tests and cell-cell communication in scRNA-seq data
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Title: Identifying changes in cell states related to their spatial context in tissue microenvironment
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Title: Scalable analysis methods for single cell omics data and lineage tracing
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Title: Graphical generative model for identification of disease associated perturbations to intercellular communications in single-cell RNA sequencing data
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Title: Cross-species single-cell atlases: analysis and challenges
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Title: An informatics framework for assembling human cell atlases as a digital life
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Title: Delineate the regulatory map in silico
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