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Filtering by: Committee Member Koslicki, David Remove constraint Committee Member: Koslicki, David Degree Name Doctor of Philosophy (Ph.D.) Remove constraint Degree Name: Doctor of Philosophy (Ph.D.) 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:
    long-term success. Next, I would like to thank Prof. David Koslicki for his excellent help during my