Applied Computational Biology And Statistics In Biotechnology And Bioinformatics Set Of 2 Vols Set Price


Applied Computational Biology And Statistics In Biotechnology And Bioinformatics Set Of 2 Vols Set Price
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Applied Computational Biology And Statistics In Biotechnology And Bioinformatics Set Of 2 Vols Set Price


Applied Computational Biology And Statistics In Biotechnology And Bioinformatics Set Of 2 Vols Set Price
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Author : A.K. Roy
language : en
Publisher:
Release Date : 2020

Applied Computational Biology And Statistics In Biotechnology And Bioinformatics Set Of 2 Vols Set Price written by A.K. Roy and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.




Handbook Of Statistical Bioinformatics


Handbook Of Statistical Bioinformatics
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Author : Henry Horng-Shing Lu
language : en
Publisher: Springer Nature
Release Date : 2022-12-08

Handbook Of Statistical Bioinformatics written by Henry Horng-Shing Lu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-08 with Science categories.


Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.



Applied Statistics For Network Biology


Applied Statistics For Network Biology
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Author : Matthias Dehmer
language : en
Publisher: Wiley-Blackwell
Release Date : 2011-06-20

Applied Statistics For Network Biology written by Matthias Dehmer and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-20 with Medical categories.


The book introduces to the reader a number of cutting edge statistical methods which can e used for the analysis of genomic, proteomic and metabolomic data sets. In particular in the field of systems biology, researchers are trying to analyze as many data as possible in a given biological system (such as a cell or an organ). The appropriate statistical evaluation of these large scale data is critical for the correct interpretation and different experimental approaches require different approaches for the statistical analysis of these data. This book is written by biostatisticians and mathematicians but aimed as a valuable guide for the experimental researcher as well computational biologists who often lack an appropriate background in statistical analysis.



Algebraic Statistics For Computational Biology


Algebraic Statistics For Computational Biology
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Author : L. Pachter
language : en
Publisher: Cambridge University Press
Release Date : 2005-08-22

Algebraic Statistics For Computational Biology written by L. Pachter 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 2005-08-22 with Mathematics categories.


This book, first published in 2005, offers an introduction to the application of algebraic statistics to computational biology.



Systems Biology


Systems Biology
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Author : Bernhard Palsson
language : en
Publisher: Cambridge University Press
Release Date : 2015-01-26

Systems Biology written by Bernhard Palsson 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 2015-01-26 with Medical categories.


The first comprehensive single-authored textbook on genome-scale models and the bottom-up approach to systems biology.



Computer Simulation And Data Analysis In Molecular Biology And Biophysics


Computer Simulation And Data Analysis In Molecular Biology And Biophysics
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Author : Victor Bloomfield
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-05

Computer Simulation And Data Analysis In Molecular Biology And Biophysics written by Victor Bloomfield 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 2009-06-05 with Science categories.


This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental methods to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easier way, than ever before. TheExecutiveSummaryofthein?uential2003reportfromtheNationalAcademy of Sciences, “BIO 2010: Transforming Undergraduate Education for Future - search Biologists” [12], begins The interplay of the recombinant DNA, instrumentation, and digital revolutions has p- foundly transformed biological research. The con?uence of these three innovations has led to important discoveries, such as the mapping of the human genome. How biologists design, perform, and analyze experiments is changing swiftly. Biological concepts and models are becoming more quantitative, and biological research has become critically dependent on concepts and methods drawn from other scienti?c disciplines. The connections between the biological sciences and the physical sciences, mathematics, and computer science are rapidly becoming deeper and more extensive.



Gene Quantification


Gene Quantification
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Author : Francois Ferre
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Gene Quantification written by Francois Ferre 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 2012-12-06 with Medical categories.


Geneticists and molecular biologists have been interested in quantifying genes and their products for many years and for various reasons (Bishop, 1974). Early molecular methods were based on molecular hybridization, and were devised shortly after Marmur and Doty (1961) first showed that denaturation of the double helix could be reversed - that the process of molecular reassociation was exquisitely sequence dependent. Gillespie and Spiegelman (1965) developed a way of using the method to titrate the number of copies of a probe within a target sequence in which the target sequence was fixed to a membrane support prior to hybridization with the probe - typically a RNA. Thus, this was a precursor to many of the methods still in use, and indeed under development, today. Early examples of the application of these methods included the measurement of the copy numbers in gene families such as the ribosomal genes and the immunoglo bulin family. Amplification of genes in tumors and in response to drug treatment was discovered by this method. In the same period, methods were invented for estimating gene num bers based on the kinetics of the reassociation process - the so-called Cot analysis. This method, which exploits the dependence of the rate of reassociation on the concentration of the two strands, revealed the presence of repeated sequences in the DNA of higher eukaryotes (Britten and Kohne, 1968). An adaptation to RNA, Rot analysis (Melli and Bishop, 1969), was used to measure the abundance of RNAs in a mixed population.



Statistics And Data Analysis For Microarrays Using R And Bioconductor


Statistics And Data Analysis For Microarrays Using R And Bioconductor
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Author : Sorin Draghici
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Statistics And Data Analysis For Microarrays Using R And Bioconductor written by Sorin Draghici and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.


Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on,



Bioinformatics Computing


Bioinformatics Computing
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Author : Bryan P. Bergeron
language : en
Publisher: Prentice Hall Professional
Release Date : 2003

Bioinformatics Computing written by Bryan P. Bergeron and has been published by Prentice Hall Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.


Comprehensive and concise, this handbook has chapters on computing visualization, large database designs, advanced pattern matching and other key bioinformatics techniques. It is a practical guide to computing in the growing field of Bioinformatics--the study of how information is represented and transmitted in biological systems, starting at the molecular level.



Soft Computing For Data Mining Applications


Soft Computing For Data Mining Applications
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Author : K. R. Venugopal
language : en
Publisher: Springer
Release Date : 2009-02-24

Soft Computing For Data Mining Applications written by K. R. Venugopal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-24 with Computers categories.


The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly imprecise. Database discovery seeks to discover noteworthy, unrecognized associations between the data items in the existing database. The potential of discovery comes from the realization that alternate contexts may reveal additional valuable information. The rate at which the data is storedis growing at a phenomenal rate. Asaresult,traditionaladhocmixturesofstatisticaltechniquesanddata managementtools are no longer adequate for analyzing this vast collection of data. Severaldomainswherelargevolumesofdataarestoredincentralizedor distributeddatabasesincludesapplicationslikeinelectroniccommerce,bio- formatics, computer security, Web intelligence, intelligent learning database systems,?nance,marketing,healthcare,telecommunications,andother?elds. E?cient tools and algorithms for knowledge discovery in large data sets have been devised during the recent years. These methods exploit the ca- bility of computers to search huge amounts of data in a fast and e?ective manner. However,the data to be analyzed is imprecise and a?icted with - certainty. In the case of heterogeneous data sources such as text and video, the data might moreover be ambiguous and partly con?icting. Besides, p- terns and relationships of interest are usually approximate. Thus, in order to make the information mining process more robust it requires tolerance toward imprecision, uncertainty and exceptions.