B) human disease network (HDN),
C) disease gene network (DGN).
-In the HDN nodes represent disorders and two disorders are connected to each
-other if they share at least one gene in which mutations are associated with
+In the HDN nodes represent disorders and two disorders are connected if they share at least
+one gene in which mutations are associated with both disorders.
In the DGN nodes represent disease genes and two genes are connected if
they are associated with the same disorder. The association of gene with the
disorder is supported by various evidence: (1) confirmed association with
unknown underlying effect, (2) linkage, (3) confirmed molecular basis with found
-mutation in the gens, (4) a contiguous gene deletion or duplication syndrome,
+mutation in the gens, (4) a contiguous gene deletion or duplication syndrome,
multiple genes are deleted or duplicated causing the phenotype.
The most complete and best-curated list of known disorder-gene associations is
in the Morbid Map (MM) of the Online Mendelian Inheritance in Man
+maintained the Morbid Map (MM) of the Online Mendelian Inheritance in Man
(OMIM). Each entry of the MM is composed of four fields, the name of the
-disorder, the associated gene symbols, its corresponding OMIM
id, and the
+disorder, the associated gene symbols, its corresponding OMIM , and the
The script saves information on vertices into .net files, and disease class
- OMIM (http://www.omim.org/downloads),
- The human disease network (Goh et al., PNAS 2007).
-Requirement Python-levenshtein module (see
-https://pypi.python.org/pypi/python-Levenshtein) for fast computing of string
+Script requires Python-levenshtein module (see
+https://pypi.python.org/pypi/python-Levenshtein) for fast computation of string
similarities. This is a C extension module. If it is not available user can use
a slower Python implementation contained in script (_levenshtein).