Sifting disease-causing signal from genomic noise
نویسندگان
چکیده
منابع مشابه
Sifting disease-causing signal from genomic noise
Recent advances in DNA sequencing technology are transforming our understanding of the genetic basis of rare human diseases. It is now possible to rapidly and costeffectively interrogate the majority of protein-coding bases in the human genome (known collectively as the exome), finding mutations that would have been difficult if not impossible to discover with the traditional approaches of link...
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1 Health Psychology and Behavioral Medicine Research Group, Faculty of Health Sciences, School of Psychology and Speech Pathology, Curtin University, Perth, WA, Australia, 2 Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland, 3 School of Applied Psychology and Menzies Health Institute Queensland, Behavioural Bases for Health, Griffith University, Brisbane, QLD, Au...
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A good deal of Twitter research focuses on event-detection using algorithms that rely on key words and tweet density. We present an alternative analysis of tweets, filtering by hashtags related to the 2012 Superbowl and validated against the 2013 baseball World Series. We analyze low-volume, topically similar tweets which reference specific plays (sub-contexts) within the game at the time they ...
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Suppose that a sequence of numbers xn (a ‘signal’) is transmitted through a noisy channel. The receiver observes a noisy version of the signal with additive random fluctuations, xn + ξn, where ξn is a sequence of independent standard Gaussian random variables. Suppose further that the signal is known to come from some fixed space X of possible signals. Is it possible to fully recover the transm...
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ژورنال
عنوان ژورنال: BMC Proceedings
سال: 2012
ISSN: 1753-6561
DOI: 10.1186/1753-6561-6-s6-o8