Birs- 23w5090: Single-Cell Plus - Data Science Challenges in Single-Cell Research
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Title: Greater than the sum of the parts: Learning relationships between histone modifications in single cells
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Title: Probabilistic modelling of single-cell methylation sequencing data reveals regions that are informative of cell type and cell state
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Title: Modelling gene regulation via integrative analysis of single cell multi-omics data
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Title: Scalable test of statistical significance for protein-DNA binding changes with insertion and deletion of bases in the genome
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Title: Discussion Session
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Title: Modelling of cellular dynamics on differentiation and lineage
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Title: Joint tensor modeling of single cell 3D genome and epigenetic data with Muscle
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Title: Combinatorial regulons (cregulon): a novel optimization model for unraveling cellular identity and state transitions through single multi-omics data
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Title: Day 2: Advances in single-cell RNA-Seq data
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Title: RUV-III-NB: A robust method for normalization of single cell RNA-seq data
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Title: Modelling group heteroscedasticity in single-cell RNA-seq pseudo-bulk data
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Title: One of these cells is not like the other - modelling variability of gene expression in single cell data
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Title: Robust normalization and integration of single-cell protein expression across CITE-seq datasets
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Title: Improving the Resolution of Single-Cell TCR-seq
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Title: Integrative analysis of scRNA-seq, scTCR-seq, and TCR-seq to identify and characterize antigen-specific T cells
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Title: scNovel: a neural network framework for novel rare cell detection of single-cell transcriptome data
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Title: Guided-topic modelling of single-cell transcriptomes enables sub-cell-type and disease-subtype deconvolution of bulk transcriptomes
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Title: Mosaic single cell data integration
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Title: Cell-type-specific co-expression inference from single cell RNA-sequencing data
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Title: ClusterDE: a post-clustering differentially expressed (DE) gene identification method robust to false-positive inflation caused by double-dipping
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