Network medicine--from obesity to the "diseasome".

By Albert-László Barabási. 2007

526 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

In Molecular Biology

Citations in the corpus

EgoNet: identification of human disease ego-network modules (2014, background): “applies systems biology and network science methods to human disease [1-3].”
Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework (2013, background): “They result from an interaction between genetic, molecular, environmental, and lifestyle factors.(5,6,14) Similarities in lifestyles and experiences matter, along with genetic predispositions, in our risk for diseases.”
Network-based global inference of human disease genes (2008, background): “Taken together, our preliminary study on modeling rules connecting phenotype and genotype networks is one step further toward the emerging field of ‘network medicine’ (Barabasi, 2007).”
Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “Barabási [405] suggested the treatment of diseases by taking into account different leve ls of complex biological networks.”
The Human Phenotype Ontology (2010, background): “Parallel advances in high-throughput technologies in molecular genetics and the computational analysis of networks led to the concept of the diseasome (53), a term which refers to complex relationships between biochemical, genetic, cellular, phenotypic, and other networks that together underlie huma”
The diseasome of physical inactivity – and the role of myokines in muscle–fat cross talk (2009, background): “Such genetic network-based thinking has provided insights into the pathogenesis of several diseases (Barabasi, 2007).”
Network Medicine: A Network-based Approach to Human Disease (2011, background): “These principles and the tools and methodologies that are derived from them are facilitating the emergence of a body of knowledge that is increasingly referred to as network medicin”