Birs- 23w5152: Computational Biology meets Data Science

  1. Title:
    Spatial transcriptomics

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  2. Title:
    "Modelling covariate and SNP influences on DNA methylation data"

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  3. Title:
    "Mixture deconvolution: a new perspective on an old problem"

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  4. Title:
    "Learning from Data in Single-Cell Transcriptomics"

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  5. Title:
    “Auditing for structural bias in machine-learning peptide design”

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  6. Title:
    "Detecting And Quantifying Antibody Reactivity In Phip-Seq Data"

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  7. Title:
    "Applying lessons from protein structure and function prediction to multi-modal drug discovery"

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  8. Title:
    "Bio-inspired Algorithms in Biology"

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  9. Title:
    "Robust Multi-Model Subset Selection"

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  10. Title:
    "Trimming Outliers in Matrix-Variate Normal Mixtures using the OCLUST Algorithm"

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  11. Title:
    "What would we discover about viruses secrets if the computation attacks them?"

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  12. Title:
    "Tailored Multiobjective Optimization and Sampling for Molecular Design"

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  13. Title:
    "Knockoff-based statistics in genetics: opportunities and challenges”

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  14. Title:
    "Towards a replacement for glyphosate as a pesticide using data minig and artificial intelligence"

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  16. Title:
    "The Single Cell Hub at Genentech: how to manage and query data for 130M cells"

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  19. Title:
    "Genetic epidemiology in the era of big data, biobanks, and -omic technologies"

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  20. Title:
    "Nationwide Genomic Biobank in Mexico Unravels Demographic History and Complex Trait Architecture from 6,057 Individuals"

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