A systems approach to respiratory disease
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Systems-based approaches, including genomics, interactomics, and transcriptomics, allow for more comprehensive and more generalizable analyses than single gene or single drug approaches. These approaches often utilize techniques from network biology, statistics, and text mining to both decompose and analyze large sets of data. This dissertation utilizes the above techniques to further explore the interactions between respiratory diseases, chemicals, and genes, with a more specific focus on mycobacterial diseases. Respiratory diseases represent a high disease burden with over one billion people ...