Prioritizing causal disease genes using unbiased genomic features
نویسندگان
چکیده
منابع مشابه
Prioritizing Disease Genes and Understanding Disease Pathways
Genetic factors play a major role in the etiology of many human diseases. Genome-wide experimental methods produce an increasing number of genes associated with such diseases. This chapter introduces data sources, bioinformatics tools, and computational methods for prioritizing disease candidate genes and identifying disease pathways. The main strategy is to examine the similarity among the can...
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A major challenge in bio-medicine is finding the genetic causes of human diseases, and researchers are often faced with a large number of candidate genes. Gene prioritization methods provide a valuable support in guiding researchers to detect reliable candidate causative-genes for a disease under study. Indeed, such methods rank genes according to their association with a disease of interest. A...
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Integrated analyses of functional genomics data have enormous potential for identifying phenotype-associated genes. Tissue-specificity is an important aspect of many genetic diseases, reflecting the potentially different roles of proteins and pathways in diverse cell lineages. Accounting for tissue specificity in global integration of functional genomics data is challenging, as "functionality" ...
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Evidences from recent studies suggest that disease-causative genes can be identified more accurately from the modular structures in a heterogeneous network that integrates a disease phenotype similarity subnetwork, a gene-gene interaction subnetwork and a phenotype-gene association subnetwork. However, it is a challenging machine learning problem to explore a heterogeneous network comprising se...
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ژورنال
عنوان ژورنال: Genome Biology
سال: 2014
ISSN: 1474-760X
DOI: 10.1186/s13059-014-0534-8