Birs- 17w5131: Statistical and Computational Challenges in Large Scale Molecular Biology
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Title: Deep learning approaches to denoise, impute, integrate and decode functional genomic data
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Title: Learning a mapping from pre-mRNA sequence to splice site usage to understand RNA splicing variation
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Title: Sequential regulatory activity prediction with long-range convolutional neural networks
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Title: Data science as a science
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Title: Statistical and experimental methods for causal inference at complex trait associated loci
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Title: Summarizing tens of thousands of RNA-seq samples: themes and lessons
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Title: In silico phenotyping to improve the usefulness of public data
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Title: Integrating omics data for cancer classification and prognosis
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Title: Unmasking all forms of cancer: toward integrated maps of all tumor subtypes
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Title: Predictive Integration of Networked Big Data
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Title: Integrative cancer pharmacogenomics to infer large-scale drug taxonomy
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Title: Intersecting pathology images and gene expression data to understand drivers of complex phenotypes
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Title: Chromosome Conformation in Context
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Title: Propagating consequences of molecular mechanisms into complex phenotypes
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