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We describe the Phase II HapMap, which characterizes over 3.1 million human single nucleotide polymorphisms (SNPs) genotyped in 270 individuals from four geographically diverse populations and includes 25-35% of common SNP variation in the populations surveyed. The map is estimated to capture untyped common variation with an average maximum r2 of between(More)
With the advent of dense maps of human genetic variation, it is now possible to detect positive natural selection across the human genome. Here we report an analysis of over 3 million polymorphisms from the International HapMap Project Phase 2 (HapMap2). We used 'long-range haplotype' methods, which were developed to identify alleles segregating in a(More)
The aim of the present study was to identify agents capable of inhibiting the invasion and metastasis of tongue squamous cell carcinoma and thereby improve the outcomes of patients suffering from tongue cancer. FRMD4A antibodies were used to probe 78 paraffin-embedded specimens of tongue squamous cell carcinoma and 15 normal tongue tissues, which served as(More)
Location information of sensor nodes is critical to many wireless sensor network (WSN) applications and protocols. Many localization algorithms have been proposed in the past several years. However, they cannot successfully localize all the localizable nodes in sparse networks in which the average node degree is usually less than 10. In this paper, we(More)
The ground target optimal tracking is very important in the ground target tracking of UAV. In order to improve the ground target tracking performance of support vector machine, ground target optimal tracking model based on genetic least squares support vector machine in this paper. Least squares support vector machine can apply equality constraints for the(More)
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