![]() ![]() The construction of arrangements is a fundamental operation in Computational Geometry. Masterjohn will present his PhD Thesis Constructing the Arrangement of Algebraic Surfaces in a Bounding Box Abstract We compare our method to a node-based approach and show that our method is better suited in identifying tissue specificity, leading to a better understanding of roles played by regulatory elements in regulation and disease at a tissue level.įriday, April 2nd, 2021 3:00 pm, Zoom Link We show that target genes regulated by controller transcription factors through promoter edges are tissue-specific, overexpressed in cancerous tissues, and are likely to be targeted by cancer drugs in the corresponding tissue. We identify transcription factors that control different tissue-specific regulatory networks through enhancer and promoter edges. We then introduce a new approach to identify controller nodes based on the edges of the network. Such control proteins were also found to be enriched with regulatory and signaling genes, disease genes, and drug targets suggesting biological significance. Transcending different topological levels, we show that proteins that control many pathways also control the network of interaction when all pathways are combined. Investigating cellular activity that drives the cell to specific outcomes, we determined proteins that topologically control different human pathways represented as independent molecular interaction networks. Such kinases were experimentally validated for their influence in axon growth based on either screening data or external literature confirmation. We found kinases to be enriched among source genes sending significantly differential information to transcription factors, which we considered to sink because of their ability to regulate many genes. We compare the difference in information flow in protein interaction networks between mice with axonal injury and sham surgery to identify causal nodes. ![]() Webots compound motion rotate translation driver#Focusing on the flow of information through a molecular interaction network using a network propagation approach, we hypothesized that the difference in the flow of information between control and injured conditions prioritizes relevant driver nodes that cause this state change. Hence, it is beneficial to study the complete system to understand the biological system in its entirety. Information flow and controllability of Biological Networksįunctional processes and mechanisms of cells are not the result of a single molecule or component but rather tend to be related to complex and intricate interactions of these components. ![]()
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