论文标题
Fiuncho：用于CPU群集中任何阶的上位检测的程序
Fiuncho: a program for any-order epistasis detection in CPU clusters
论文作者
论文摘要
上位症可以定义为表型表达过程中基因的统计相互作用。人们认为，它在基因表达中起着基本作用，因为在以前的全基因组关联研究中，个体遗传变异的疾病风险增加很小。最成功的上学检测方法是详尽的方法，尽管其指数时间复杂性需要高度平行的实现才能使用。这项工作提出了Fiuncho，该程序利用\ textit {x86 \ _64} CPU群集中存在的所有级别的并行级别，以减轻此方法的复杂性。它支持任何顺序的上学相互作用，并且与其他详尽的方法相比，平均比MDR，MPI3SNP和BitePI快358、7和3倍。
Epistasis can be defined as the statistical interaction of genes during the expression of a phenotype. It is believed that it plays a fundamental role in gene expression, as individual genetic variants have reported a very small increase in disease risk in previous Genome-Wide Association Studies. The most successful approach to epistasis detection is the exhaustive method, although its exponential time complexity requires a highly parallel implementation in order to be used. This work presents Fiuncho, a program that exploits all levels of parallelism present in \textit{x86\_64} CPU clusters in order to mitigate the complexity of this approach. It supports epistasis interactions of any order, and when compared with other exhaustive methods, it is on average 358, 7 and 3 times faster than MDR, MPI3SNP and BitEpi, respectively.
