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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)
Despite great progress in identifying genetic variants that influence human disease, most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common(More)
We discuss two named-entity recognition models which use characters and character n-grams either exclusively or as an important part of their data representation. The first model is a character-level HMM with minimal context information, and the second model is a maximum-entropy conditional markov model with substantially richer context features. Our best(More)
We describe a machine learning system for the recognition of names in biomedical texts. The system makes extensive use of local and syntactic features within the text, as well as external resources including the web and gazetteers. It achieves an F-score of 70% on the Coling 2004 NLPBA/BioNLP shared task of identifying five biomedical named entities in the(More)
AltiVec technology is Motorola's high-per$ormance vector parallel processing extension to the PowerPC " ' RISC microprocessor. It is designed to improve the performance of algorithms and applications that can exploit data parallelism such as those in digital signal processing (DSP) and multimedia. In this paper, we investigate the behavior of the AltiVec(More)
—In smart grid, the strong coupling between cyber and physical operations makes power systems vulnerable to cyber attacks. In this paper, stealth false data attacks are investigated where the attackers without prior knowledge of the power grid topology, try to make inferences through phasor observations. We show that when the system dynamics are small and(More)
Searching for educational resources on the web would be greatly facilitated by the availability of classificatory metadata, but most web educational resources put up by faculty members provide no such metadata. We explore using text classification and information extraction techniques to automatically gather such metadata. Text classifications orthogonal to(More)
Cobblestone (type II) lissencephaly and mental retardation are characteristic features of a subset of congenital muscular dystrophies that include Walker-Warburg syndrome, muscle-eye-brain disease, and Fukuyama-type congenital muscular dystrophy. Although the majority of clinical cases are genetically undefined, several causative genes have been identified(More)