Exploiting Negative Sample Selection for Prioritizing Candidate Disease Genes
نویسندگان
چکیده
منابع مشابه
Exploiting Negative Sample Selection for Prioritizing Candidate Disease Genes
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...
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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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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ژورنال
عنوان ژورنال: Genomics and Computational Biology
سال: 2017
ISSN: 2365-7154
DOI: 10.18547/gcb.2017.vol3.iss3.e47