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Filtering by: Creator Siegel, Karen E. Remove constraint Creator: Siegel, Karen E. Rights Statement In Copyright - Non-Commercial Use Permitted Remove constraint Rights Statement: In Copyright - Non-Commercial Use Permitted Subject Applied machine learning Remove constraint Subject: Applied machine learning

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  • Computational Approaches for Understanding Combinatorial Gene Regulation

    Creator:
    Ansariola, Mitra
    Abstract:
    Gene regulation is a complex mechanism that controls the spatial and temporal expression of genes in a living cell. My dissertation studies focus on two problems. First, tissue-specific gene expression prediction from DNA sequence and chromatin state, and second, the accurate discovery of small over-represented regulatory circuits in gene regulatory...
    Resource Type:
    Dissertation
    Full Text:
    specific expression. However, relying only on DNase signals without also considering the e↵ect of direct