Birs- 18w5202: Statistical and Computational Challenges in High-Throughput Genomics with Application to Precision Medicine

  1. Title:
    Regularized instrumental variables estimators for disease classification.

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    Bayesian sparse regression and variable selection for large data with weak signals.

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    Detection of de novo copy number deletions from targeted sequencing of trios

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    Mutational dynamics in the mouse mitochondrial genome.

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  5. Title:
    TBA - The Brazilian Approach

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    Exploring single cell data

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  7. Title:
    Integrative genomic analyses of TCGA pan-cancer data.

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    Multi-omics integration for identifying prognostic biomarkers in complex disease.

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  9. Title:
    Feature selection using differential correlation across ranked samples.

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  10. Title:
    Integrated genomic analyses of ovarian cancer cell lines to predict drug sensitivity.

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  11. Title:
    Combining heterogeneous genomics data to understand complex human traits.

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  12. Title:
    Statistical approach for investigating change in mutational process during cancer growth and development.

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  13. Title:
    Multi-task regulatory network inference applied to multi-study, multi-species and single cell genomic experimental designs.

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