Disease Gene Prioritization Using Network and Feature
نویسندگان
چکیده
منابع مشابه
Network-based gene-disease prioritization using PROPHNET
Motivation and Objectives A major goal in biomedicine is to determine the underlying genetic causes of human diseases in order to better understand them and support their prevention and treatment. However, the genetic bases of many multifactorial diseases are still unclear, and high-throughput technologies typically report hundred or thousands of genes associated to a disease of interest. In th...
متن کاملCandidate Gene Prioritization Using Network Based Probabilistic Models
We present a new gene prioritization method that learns a probabilistic knowledge model from a knowledge base and free text research documents and exploits it to prioritize candidate genes. The knowledge model is represented by a network of associations among the domain entities (e.g., genes) and is extracted from a domain knowledge base (e.g., protein-protein interaction database) or a corpus ...
متن کاملChapter 15: Disease Gene Prioritization
Disease-causing aberrations in the normal function of a gene define that gene as a disease gene. Proving a causal link between a gene and a disease experimentally is expensive and time-consuming. Comprehensive prioritization of candidate genes prior to experimental testing drastically reduces the associated costs. Computational gene prioritization is based on various pieces of correlative evide...
متن کاملNetwork-based drug-disease relation prioritization using ProphNet
Assisting drug repositioning processes can lead to a considerable reduction in cost and time in any drug development process. Recent in silico approaches have addressed the network-based nature of biological information to assess the possible new indications for a query drug. Here we present a new methodology based on network prioritization, that can aid researchers in the drug repositioning pr...
متن کاملAn extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods
OBJECTIVE In the context of "network medicine", gene prioritization methods represent one of the main tools to discover candidate disease genes by exploiting the large amount of data covering different types of functional relationships between genes. Several works proposed to integrate multiple sources of data to improve disease gene prioritization, but to our knowledge no systematic studies fo...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2015
ISSN: 1066-5277,1557-8666
DOI: 10.1089/cmb.2015.0001