Human symptoms–disease network
نویسندگان
چکیده
منابع مشابه
Human symptoms-disease network.
In the post-genomic era, the elucidation of the relationship between the molecular origins of diseases and their resulting phenotypes is a crucial task for medical research. Here, we use a large-scale biomedical literature database to construct a symptom-based human disease network and investigate the connection between clinical manifestations of diseases and their underlying molecular interact...
متن کاملThe human disease network.
A network of disorders and disease genes linked by known disorder-gene associations offers a platform to explore in a single graph-theoretic framework all known phenotype and disease gene associations, indicating the common genetic origin of many diseases. Genes associated with similar disorders show both higher likelihood of physical interactions between their products and higher expression pr...
متن کاملThe human protein coevolution network.
Coevolution maintains interactions between phenotypic traits through the process of reciprocal natural selection. Detecting molecular coevolution can expose functional interactions between molecules in the cell, generating insights into biological processes, pathways, and the networks of interactions important for cellular function. Prediction of interaction partners from different protein fami...
متن کاملA Human Communication Network Model
A number of attributed formation models based on ErdosRenyi and Barabasi-Albert random graph models are presented. One of them is a Human Communication Network (HCN) model based on time restrictions on face-to-face communication. Construction of this weighted network requires a few numerical parameters and allows to transform any unweighted node attributed network into weighted. This transforma...
متن کاملNetwork Structures on Human Movements
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Communications
سال: 2014
ISSN: 2041-1723
DOI: 10.1038/ncomms5212