GenRank: a R/Bioconductor package for prioritization of candidate genes
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چکیده
منابع مشابه
GenRank: an R/Bioconductor package for prioritization of candidate genes
Summary: Modern high-throughput studies often yield long lists of genes, of which a fraction are of high relevance to the phenotype of interest. To prioritize the candidate genes of complex genetic traits, our R/Bioconductor package GenRank provides methods that are based on convergent evidence obtained from multiple independent evidence layers. The package facilitates an extensible framework t...
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Identifying disease genes is very important not only for better understanding of gene function and biological process but also for human medical improvement. Many previous methods are based on modular nature of human genetic disease and the similarity between known disease genes and candidate genes. In this paper, we propose the method of Modularized Random Walk with Restart (MRWR) based on the...
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BACKGROUND Epilepsy is a severe neurological disorder affecting a large number of individuals, yet the underlying genetic risk factors for epilepsy remain unclear. Recent studies have revealed several recurrent copy number variations (CNVs) that are more likely to be associated with epilepsy. The responsible gene(s) within these regions have yet to be definitively linked to the disorder, and th...
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The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing these techniques are able to highlight panels of genes that are altered in cancer. However, these candidate cancer genes must then be scrutinized to reveal whether they co...
متن کاملeResponseNet: a package prioritizing candidate disease genes through cellular pathways
MOTIVATION Although genome-wide association studies (GWAS) have found many common genetic variants associated with human diseases, it remains a challenge to elucidate the functional links between associated variants and complex traits. RESULTS We developed a package called eResponseNet by implementing and extending the existing ResponseNet algorithm for prioritizing candidate disease genes th...
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ژورنال
عنوان ژورنال: F1000Research
سال: 2017
ISSN: 2046-1402
DOI: 10.12688/f1000research.11223.1