Gene gravity-like algorithm for disease gene prediction based on phenotype-specific network
نویسندگان
چکیده
منابع مشابه
Network-based methods for human disease gene prediction.
Despite the considerable progress in disease gene discovery, we are far from uncovering the underlying cellular mechanisms of diseases since complex traits, even many Mendelian diseases, cannot be explained by simple genotype-phenotype relationships. More recently, an increasingly accepted view is that human diseases result from perturbations of cellular systems, especially molecular networks. ...
متن کاملNetwork-basedmethods for human disease gene prediction
Despite the considerable progress in disease gene discovery, we are far from uncovering the underlying cellular mechanisms of diseases since complex traits, even many Mendelian diseases, cannot be explained by simple genotype^phenotype relationships. More recently, an increasingly accepted view is that human diseases result from perturbations of cellular systems, especially molecular networks. ...
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Screening disease-related genes by analyzing gene expression data has become a popular theme. Traditional disease-related gene selection methods always focus on identifying differentially expressed gene between case samples and a control group. These traditional methods may not fully consider the changes of interactions between genes at different cell states and the dynamic processes of gene ex...
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A popular method for reconstructing gene networks from micro-array data is Bayesian structure learning. However, most Bayesian structure learning algorithms suffer from three major shortcomings, i.e., the high computational cost, inefficiency in exploring qualitative knowledge, and inability of reconstructing phenotype specific gene network. We address these three short-comings by presenting a ...
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ژورنال
عنوان ژورنال: BMC Systems Biology
سال: 2017
ISSN: 1752-0509
DOI: 10.1186/s12918-017-0519-9