Inferring novel gene-disease associations using Medical Subject Heading Over-representation Profiles
نویسندگان
چکیده
منابع مشابه
An integrated approach to inferring gene-disease associations in humans.
UNLABELLED One of the most important tasks of modern bioinformatics is the development of computational tools that can be used to understand and treat human disease. To date, a variety of methods have been explored and algorithms for candidate gene prioritization are gaining in their usefulness. Here, we propose an algorithm for detecting gene-disease associations based on the human protein-pro...
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A fundamental challenge in human health is the identification of diseasecausing genes. Recently, several studies have tackled this challenge via a two-step approach: first, a linkage interval is inferred from population studies; second, a computational approach is used to prioritize genes within this interval. State-of-the-art methods for the latter task are based on the observation that genes ...
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Librarians at the National Library of Medicine tag each biomedical abstract to be indexed by their Pubmed information system with terms from the Medical Subject Headings (MeSH) terminology. The MeSH terminology has over 26,000 terms and indexers look at each article's full text to assign a set of most suitable terms for indexing it. Several recent automated attempts focused on using the article...
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ژورنال
عنوان ژورنال: Genome Medicine
سال: 2012
ISSN: 1756-994X
DOI: 10.1186/gm376