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, and contribute to a federally funded R01 initiative focused on the integration of spatial omics, transcriptomics, and histology data. The role emphasizes computational analysis of single-cell RNA
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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding
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next-generation sequencing, single-cell and spatial transcriptomics and proteomics, and advanced data analysis pipelines. It serves as a centralized resource for all investigators within the Department
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