Journal
SCIENTIFIC REPORTS
Volume 5, Issue -, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/srep17658
Keywords
-
Categories
Funding
- Biotechnology and Biological Sciences Research Council (BBSRC) [BB/K004131/1, BB/F00964X/1, BB/M025047/1]
- Consejo Nacional de Ciencia y Tecnologia Paraguay (CONACyT) [14-INV-088]
- BBSRC [BB/M025047/1, BB/F00964X/1, BB/K004131/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/M025047/1, BB/F00964X/1, BB/K004131/1] Funding Source: researchfish
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available