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ISBN:
Category :
Languages : en
Pages :

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Author: Murugathas Yuwaraj
Publisher: National Library of Canada = Bibliothèque nationale du Canada
ISBN: 9780612636453
Category :
Languages : en
Pages : 210

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Author: Murugathas Yuwaraj
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Electrophoresis-based automated identification of the Deoxyribo Nucleic Acid (DNA) sequence provides a means of detecting variations in the DNA of an organism at the nucleotide level. Accurate detection of these variations and the DNA sequence, in general, are limited by statistical variations in the DNA time-series and overlap of adjacent peaks due to limited resolution. In this thesis, a local maximum likelihood processor (L-DNA), which is based on a statistical model of the DNA time-series is developed. The L-DNA poor generates a finite set of hypothesized sequences. For each hypothesized sequence, model parameters estimated from the observed waveform are used to evaluate the likelihood of the hypothesized sequence being consistent with the observed waveform. The hypothesis with the highest likelihood is selected as the local sequence in the observed region. The performance of the L-DNA processor is evaluated using both simulated and real DNA data. Simulations show that in low resolution regions of the DNA data, which are observed towards the end of a sequencing run, the probability of error for the proposed processor is two orders of magnitude smaller than the commonly used Jansson-van Cittert iterative deconvolution method. The robustness of the processor is illustrated by sequentially extending the read length of a fragment of DNA sequence. The ability of the processor to detect heterozygous sites and partial mutation sites in low resolution regions is illustrated using 30 segments of DNA data where the proportion of the wild and mutant types is artificially controlled. The L-DNA processor correctly identifies 80% of the data, while a commercial base-calling program correctly detects only 33% of the data. It should be noted that the commercial base-calling program is specifically designed for the sequencer that was used to acquire the above mentioned data. The L-DNA processor provides a measure of confidence for each hypothesized sequence. This measure can be used to significantly reduce the amount of human intervention needed to edit results of automated DNA sequencing system in clinical applications.

Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 840

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 88

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The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Author:
Publisher:
ISBN:
Category : DNA polymerases
Languages : en
Pages : 600

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Author:
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1284

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Author: Yihui Xie
Publisher: CRC Press
ISBN: 1000290883
Category : Business & Economics
Languages : en
Pages : 353

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Book Description
This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software. Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent users will also benefit from the wide ranging tips and tricks that expose ‘hidden’ features, support customization and demonstrate the many new and varied applications of the software. After reading this book users will learn how to: Enhance your R Markdown content with diagrams, citations, and dynamically generated text Streamline your workflow with child documents, code chunk references, and caching Control the formatting and layout with Pandoc markdown syntax or by writing custom HTML and LaTeX templates Utilize chunk options and hooks to fine-tune how your code is processed Switch between different language engineers to seamlessly incorporate python, D3, and more into your analysis

Author: Frank Hutter
Publisher: Springer
ISBN: 3030053180
Category : Computers
Languages : en
Pages : 223

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Book Description
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.

Author: Kevin M. Passino
Publisher: Springer Science & Business Media
ISBN: 1846280699
Category : Computers
Languages : en
Pages : 926

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Book Description
Biomimicry uses our scienti?c understanding of biological systems to exploit ideas from nature in order to construct some technology. In this book, we focus onhowtousebiomimicryof the functionaloperationofthe “hardwareandso- ware” of biological systems for the development of optimization algorithms and feedbackcontrolsystemsthatextendourcapabilitiestoimplementsophisticated levels of automation. The primary focus is not on the modeling, emulation, or analysis of some biological system. The focus is on using “bio-inspiration” to inject new ideas, techniques, and perspective into the engineering of complex automation systems. There are many biological processes that, at some level of abstraction, can berepresentedasoptimizationprocesses,manyofwhichhaveasa basicpurpose automatic control, decision making, or automation. For instance, at the level of everyday experience, we can view the actions of a human operator of some process (e. g. , the driver of a car) as being a series of the best choices he or she makes in trying to achieve some goal (staying on the road); emulation of this decision-making process amounts to modeling a type of biological optimization and decision-making process, and implementation of the resulting algorithm results in “human mimicry” for automation. There are clearer examples of - ological optimization processes that are used for control and automation when you consider nonhuman biological or behavioral processes, or the (internal) - ology of the human and not the resulting external behavioral characteristics (like driving a car). For instance, there are homeostasis processes where, for instance, temperature is regulated in the human body.