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Finding dense subgraphs is an important problem that has recently attracted a lot of interests. Most of the existing work focuses on a single graph (or network1). In many real-life applications, however, there exist dual networks, in which one network represents the physical world and another network represents the conceptual world. In this paper, we investigate the problem of finding the densest...
Quantitative trait association study examines the association between quantitative traits and genetic variants. As a promising tool, it has been widely applied to dissect the genetic basis of complex diseases. However, such study usually involves testing trillions of variant-trait pairs and demands intensive computational resources. Recently, several algorithms have been developed to improve its efficiency...
It is well understood that the yak originates from China, but facts regarding origin time and evolutionary relationship with other species of Bovini, are largely disputed. Here, we have analyzed the phylogenetic relationship of eight representative species of Bovini, based on the Cytochrome b gene of mitochondrial DNA and TSPY gene of chromosome Y. We also estimated the divergence times of these different...
The protein synthesised from the C/EBPβ gene interacts specifically with a C/EBP-recognition sequence and acts as a transcriptional activator. It plays a key role in lipometabolism and therefore is considered as a candidate gene for goose fat liver forming. In order to get the sequence, four pairs specificity primers were designed for amplification of C/EBPβ gene in Landes geese. The fragments of...
To solve the problem which is hard to avoid the local optimal solution or slower population diversity when using genetic algorithm to generate the fuzzy rules in a fuzzy system, this paper proposes an automatic rule generation using fuzzy genetic algorithm. This algorithm utilizes the rules population diversity and evolutionary speed to automatically adjust the crossover rate and mutation rate based...
In this study we present a new method to denoting DNA sequences based on the distributions of "stop-codon" and "reverse complementation stop-codon"(R14). Using the theory of Shannon entropy, we ameliorate the measure of the Jensen- Shannon divergence and beta - KL divergence, And we compare experimentation obtained by our method with the previous results, Show that recognition...
DNA microarray techniques present a novel way for geneticists to monitor interactions among tens of thousands of genes simultaneously, and have become standard lab routines in gene discovery, disease diagnosis, and drug design. There has been extensive research on coherent subspace clustering of gene expressions measured under consistent experimental settings. This implies that all experiments are...
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