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Intrusion detection systems help network administrators prepare for and deal with network security attacks. These systems collect information from a variety of systems and network sources, and analyze them for signs of intrusion and misuse. A variety of techniques have been employed for analysis ranging from traditional statistical methods to new data(More)
AIM Currently, there are almost 100 genes related to Alzheimer's disease (AD), and studies have indicated that apolipoprotein E (APO E) ε4 allele is a genetic risk factor of AD. However, there have been no reports of the distributions of APO E genotypes and allele frequencies in Uighur and Han AD patients. METHODS We analyzed APO E gene polymorphism in(More)
Myostatin is a transforming growth factor-β family member that acts as a negative regulator of skeletal muscle mass. To identify possible myostatin inhibitors that may promote muscle growth, we used RNA interference mediated by a lentiviral vector to knockdown myostatin in goat fetal fibroblast cells. We also investigated the expression changes in relevant(More)
OBJECTIVES MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate gene expression. They have important roles in kidney development, homeostasis and disease, and participate in the onset and progression of tubulointerstitial sclerosis and end-stage glomerular lesions that occur in various forms of chronic kidney disease (CKD). In the present(More)
In recent years, genome-wide association studies have successfully uncovered single-nucleotide polymorphisms (SNPs) associated with complex traits such as diseases and quantitative phenotypes. These variations account for a small proportion of heritability. With the development of high throughput techniques, abundant submicroscopic structural variations(More)
BACKGROUND Growth and meat production traits are significant economic traits in sheep. The aim of the study is to identify candidate genes affecting growth and meat production traits at genome level with high throughput single nucleotide polymorphisms (SNP) genotyping technologies. METHODOLOGY AND RESULTS Using Illumina OvineSNP50 BeadChip, we performed a(More)
In this paper, we introduce a new learning algorithm for adaptive intrusion detection using boosting and naïve Bayesian classifier, which considers a series of classifiers and combines the votes of each individual classifier for classifying an unknown or known example. The proposed algorithm generates the probability set for each round using naïve Bayesian(More)