… , we highlight the most recent advances in network biology applications to understand
the most common neurodegenerative diseases with an emphasis on brain specific networks. …

… , functional biology, informatics, mathematics and systems biology. This … network analysis)
to interpret large and different datasets in the context of complex neurodegenerative diseases…

… diseases. Here, we summarize the recent advances in network biology to untangle the
molecular … giving rise to the most prevalent neurodegenerative diseases. We propose that …

… We discuss new insights into neurodevelopmental disorders and neurodegenerative
diseases from these studies, highlight emerging themes and provide recommendations for …

… Bayesian networks attempt to identify causal relationships between variables by maximizing
the a posteriori probability that local network interactions exist given a priori network …

… , traditional neurodegeneration research remains marred by narrow-sense approaches
surrounding amyloid β (Aβ), tau, and α-synuclein (α-syn). A systems biology approach enables …

… Additionally, by PPI network centrality analysis and applying enrichment maps, we found
about 100 hub genes, including UMPS in AD; KIT and CCR7 in ALS; GAD1, RAC1, GNAO1, …

… network and thereby, inducing significant side effects. The results we present here indicate
that both neurodegenerative diseases (… in two of the four disease networks, a high degree of …

… biological pathways in which large numbers of structurally and functionally diverse biomolecules
are measured simultaneously over time in cells, networks of cells or whole organisms [ …

… brain networks is a key issue in neurodegenerative disease. … of network damage. The
paradigm has implications for understanding and predicting neurodegenerative disease biology. …