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Advanced Topics in Computer Science: Computational Methods for Single-cell and Spatial Biology

COS 597D

1232
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This seminar explores algorithmic, statistical, and machine learning challenges emerging from new technologies for measuring DNA, RNA, and molecular interactions from single cells and tissues. Topics include: clustering, dimensionality reduction and manifold learning for single-cell RNA sequencing and spatial transcriptomics data; inference of molecular interaction networks; temporal modeling of developmental processes; and phylogenetic tree reconstruction from single-cell DNA sequencing data. Seminar will include lectures and reading/discussion of recent research papers. Students complete a final project.
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Section S01