Modern Statistics for Modern Biology

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  • Publisher : Cambridge University Press
  • Release : 27 November 2022
  • ISBN : 9781108427029
  • Page : 407 pages
  • Rating : 4.5/5 from 103 voters

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Modern Statistics for Modern Biology

Modern Statistics for Modern Biology
  • Author : SUSAN. HUBER HOLMES (WOLFGANG.),Wolfgang Huber
  • Publisher : Cambridge University Press
  • Release Date : 2018
  • ISBN : 9781108427029
GET THIS BOOKModern Statistics for Modern Biology

Handbook of Statistical Bioinformatics

Handbook of Statistical Bioinformatics
  • Author : Henry Horng-Shing Lu,Bernhard Schölkopf,Hongyu Zhao
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-05-17
  • ISBN : 9783642163456
GET THIS BOOKHandbook of Statistical Bioinformatics

Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments

Statistical Methods in Bioinformatics

Statistical Methods in Bioinformatics
  • Author : Warren J. Ewens,Gregory R. Grant
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-03-30
  • ISBN : 9780387266480
GET THIS BOOKStatistical Methods in Bioinformatics

Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods. The main

Statistics for Bioinformatics

Statistics for Bioinformatics
  • Author : Julie Thompson
  • Publisher : Elsevier
  • Release Date : 2016-11-24
  • ISBN : 9780081019610
GET THIS BOOKStatistics for Bioinformatics

Statistics for Bioinformatics: Methods for Multiple Sequence Alignment provides an in-depth introduction to the most widely used methods and software in the bioinformatics field. With the ever increasing flood of sequence information from genome sequencing projects, multiple sequence alignment has become one of the cornerstones of bioinformatics. Multiple sequence alignments are crucial for genome annotation, as well as the subsequent structural, functional, and evolutionary studies of genes and gene products. Consequently, there has been renewed interest in the development of

Statistical Bioinformatics

Statistical Bioinformatics
  • Author : Jae K. Lee
  • Publisher : John Wiley & Sons
  • Release Date : 2011-09-20
  • ISBN : 9781118211526
GET THIS BOOKStatistical Bioinformatics

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and

Statistical Bioinformatics with R

Statistical Bioinformatics with R
  • Author : Sunil K. Mathur
  • Publisher : Academic Press
  • Release Date : 2009-12-21
  • ISBN : 0123751055
GET THIS BOOKStatistical Bioinformatics with R

Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject – not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R & SAS code as well as the development of advanced methodology such as Bayesian and Markov models provides students with

Bayesian Methods in Structural Bioinformatics

Bayesian Methods in Structural Bioinformatics
  • Author : Thomas Hamelryck,Kanti Mardia,Jesper Ferkinghoff-Borg
  • Publisher : Springer
  • Release Date : 2012-03-23
  • ISBN : 9783642272257
GET THIS BOOKBayesian Methods in Structural Bioinformatics

This book is an edited volume, the goal of which is to provide an overview of the current state-of-the-art in statistical methods applied to problems in structural bioinformatics (and in particular protein structure prediction, simulation, experimental structure determination and analysis). It focuses on statistical methods that have a clear interpretation in the framework of statistical physics, rather than ad hoc, black box methods based on neural networks or support vector machines. In addition, the emphasis is on methods that deal

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
  • Author : K. G. Srinivasa,G. M. Siddesh,S. R. Manisekhar
  • Publisher : Springer Nature
  • Release Date : 2020-01-30
  • ISBN : 9789811524455
GET THIS BOOKStatistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.

New Frontiers of Biostatistics and Bioinformatics

New Frontiers of Biostatistics and Bioinformatics
  • Author : Yichuan Zhao,Ding-Geng Chen
  • Publisher : Springer
  • Release Date : 2018-12-05
  • ISBN : 9783319993898
GET THIS BOOKNew Frontiers of Biostatistics and Bioinformatics

This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017. Featuring twenty-two selected papers from the workshop, this book showcases the most current advances in the field, presenting new methods, theories, and case applications at the frontiers of biostatistics, bioinformatics, and interdisciplinary areas. Biostatistics and bioinformatics have been playing a key role in statistics and other scientific research fields in recent years. The goal of the 5th Workshop on

Advances in Statistical Bioinformatics

Advances in Statistical Bioinformatics
  • Author : Kim-Anh Do,Zhaohui Steve Qin,Marina Vannucci
  • Publisher : Cambridge University Press
  • Release Date : 2013-06-10
  • ISBN : 9781107244917
GET THIS BOOKAdvances in Statistical Bioinformatics

Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional

Algebraic Statistics for Computational Biology

Algebraic Statistics for Computational Biology
  • Author : L. Pachter,B. Sturmfels
  • Publisher : Cambridge University Press
  • Release Date : 2005-08-22
  • ISBN : 0521857007
GET THIS BOOKAlgebraic Statistics for Computational Biology

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

Statistical Modelling in Biostatistics and Bioinformatics

Statistical Modelling in Biostatistics and Bioinformatics
  • Author : Gilbert MacKenzie,Defen Peng
  • Publisher : Springer Science & Business Media
  • Release Date : 2014-05-08
  • ISBN : 9783319045795
GET THIS BOOKStatistical Modelling in Biostatistics and Bioinformatics

This book presents selected papers on statistical model development related mainly to the fields of Biostatistics and Bioinformatics. The coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series and longitudinal data analysis, (c) Statistical model development and (d) Applied statistical modelling. Innovations in statistical modelling are presented throughout each of the four areas, with some intriguing new ideas on hierarchical generalized non-linear models and on frailty models with structural

Introduction to Bioinformatics with R

Introduction to Bioinformatics with R
  • Author : Edward Curry
  • Publisher : CRC Press
  • Release Date : 2020-11-02
  • ISBN : 9781351015301
GET THIS BOOKIntroduction to Bioinformatics with R

In biological research, the amount of data available to researchers has increased so much over recent years, it is becoming increasingly difficult to understand the current state of the art without some experience and understanding of data analytics and bioinformatics. An Introduction to Bioinformatics with R: A Practical Guide for Biologists leads the reader through the basics of computational analysis of data encountered in modern biological research. With no previous experience with statistics or programming required, readers will develop the

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Bioinformatics and Computational Biology Solutions Using R and Bioconductor
  • Author : Robert Gentleman,Vincent Carey,Wolfgang Huber,Rafael Irizarry,Sandrine Dudoit
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-01-27
  • ISBN : 9780387293622
GET THIS BOOKBioinformatics and Computational Biology Solutions Using R and Bioconductor

Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.

Introduction to Mathematical Methods in Bioinformatics

Introduction to Mathematical Methods in Bioinformatics
  • Author : Alexander Isaev
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-09-19
  • ISBN : 3540219730
GET THIS BOOKIntroduction to Mathematical Methods in Bioinformatics

This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.