RT Journal Article
T1 A network medicine approach to quantify distance between hereditary disease modules on the interactome
A1 Caniza, Horacio Jose
A1 Romero, Alfonso
A1 Paccanaro, Alberto
AB We introduce a MeSH-based method that accurately quantifies similarity between heritable diseases at molecular level. This method effectively brings together the existing information about diseases that is scattered across the vast corpus of biomedical literature. We prove that sets of MeSH terms provide a highly descriptive representation of heritable disease and that the structure of MeSH provides a natural way of combining individual MeSH vocabularies. We show that our measure can be used effectively in the prediction of candidate disease genes. We developed a web application to query more than 28.5 million relationships between 7,574 hereditary diseases (96% of OMIM) based on our similarity measure.
YR 2015
FD 2015-12-03
LK http://hdl.handle.net/20.500.14066/2788
UL http://hdl.handle.net/20.500.14066/2788
LA eng
NO CONACYT – Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 19-dic-2024