Dna Words And Models
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Molecular Biology Of The Cell
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Author :
language : en
Publisher:
Release Date : 2004
Molecular Biology Of The Cell written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Cells categories.
Dna Words And Models
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Author : S. Robin
language : en
Publisher: Cambridge University Press
Release Date : 2005-10-13
Dna Words And Models written by S. Robin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-13 with Computers categories.
Publisher Description
Neural Information Processing Models And Applications
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Author : Kevin K.W. Wong
language : en
Publisher: Springer
Release Date : 2010-11-18
Neural Information Processing Models And Applications written by Kevin K.W. Wong and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-18 with Computers categories.
The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.
Introduction To Hidden Semi Markov Models
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Author : John Van der Hoek
language : en
Publisher: Cambridge University Press
Release Date : 2018
Introduction To Hidden Semi Markov Models written by John Van der Hoek and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Hidden Markov models categories.
Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction to the subject by first developing the theory of Markov processes in an elementary discrete time, finite state framework suitable for senior undergraduates and graduates. The authors then introduce semi-Markov chains and hidden semi-Markov chains, before developing related estimation and filtering results. Genomics applications are modelled by discrete observations of these hidden semi-Markov chains. This book contains new results and previously unpublished material not available elsewhere. The approach is rigorous and focused on applications
Biofictions
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Author : Lejla Kucukalic
language : en
Publisher: Routledge
Release Date : 2021-09-22
Biofictions written by Lejla Kucukalic and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-22 with Literary Criticism categories.
Biofictions introduces three novel concepts: ‘biofiction,’ ‘bioimagination,’ and ‘biodiscourse’ to talk about intersections of literary and visual texts and biotechnology. The book proposes a new interdisciplinary area of research that correlates processes of genetics and literature, based on two critical approaches. One, drawing parallels between the genetic codes, human language, formal (binary) language, and posthuman communication and the role of meaning and imagination in these forms of communication. Two, by defining ‘biofictions’ as a critical scientific-artistic concept and as a corpus of texts that engage ideas and developments in molecular biology. Syncretic connection between biotechnology and literature is especially evident in an open science movement and the literary artistic genre of biopunk, discussed across chapters. The study includes well-known contemporary texts, such as David Foster Wallace’s Infinite Jest, that are recontextualized as biofiction; it offers a rereading of important but neglected novels such as Thomas Disch’s Camp Concentration (1967); and it analyzes new visual texts such as the TV series Altered Carbon and Ghost in the Shell films. Based on these wide-ranging examples and new critical concepts, the book argues that coming up with possible alterations for the genetic code or intended traits for the organism is a discursive practice that brings into being bionarratives that are both organic and literary. Chapter 1 of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.
Applied Combinatorics On Words
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Author : M. Lothaire
language : en
Publisher: Cambridge University Press
Release Date : 2005-07-11
Applied Combinatorics On Words written by M. Lothaire and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-11 with Computers categories.
Publisher Description
Statistical Topics And Stochastic Models For Dependent Data With Applications
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Author : Vlad Stefan Barbu
language : en
Publisher: John Wiley & Sons
Release Date : 2020-11-03
Statistical Topics And Stochastic Models For Dependent Data With Applications written by Vlad Stefan Barbu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-03 with Mathematics categories.
This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov, autoregressive and piecewise deterministic Markov models. The material is divided into three parts corresponding to: (i) Markov and semi-Markov processes, (ii) autoregressive processes and (iii) techniques based on divergence measures and entropies. A special attention is payed to applications in reliability, survival analysis and related fields.
Models Of Computation In Context
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Author : Benedikt Löwe
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-22
Models Of Computation In Context written by Benedikt Löwe and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-22 with Computers categories.
This book constitutes the refereed proceedings of the 7th Conference on Computability in Europe, CiE 2011, held in Sofia, Bulgaria, in June/July 2011. The 22 revised papers presented together with 11 invited lectures were carefully reviewed and selected with an acceptance rate of under 40%. The papers cover the topics computability in analysis, algebra, and geometry; classical computability theory; natural computing; relations between the physical world and formal models of computability; theory of transfinite computations; and computational linguistics.
Hidden Markov Models For Bioinformatics
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Author : T. Koski
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-30
Hidden Markov Models For Bioinformatics written by T. Koski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-30 with Mathematics categories.
The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (e.g., profile HMM) used in genome analysis. Audience: This book will be of interest to advanced undergraduate and graduate students with a fairly limited background in probability theory, but otherwise well trained in mathematics and already familiar with at least some of the techniques of algorithmic sequence analysis.
Computational Genomics With R
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Author : Altuna Akalin
language : en
Publisher: CRC Press
Release Date : 2020-12-16
Computational Genomics With R written by Altuna Akalin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Mathematics categories.
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.