The Analysis Of Biological Data

Author: Michael C. Whitlock
Publisher: W. H. Freeman
ISBN: 1936221489
Size: 21.73 MB
Format: PDF
View: 1114
Download Read Online

Knowledge of statistics is essential in modern biology and medicine. Biologists and health professionals learn statistics best with real and interesting examples. The Analysis of Biological Data, Second Edition, by Whitlock and Schluter, teaches modern methods of statistics through the use of fascinating biological and medical cases. Readers consistently praise its clear and engaging writing and practical perspective.

The second edition features over 200 new examples and problems. These include new calculation practice problems, which guide the student step by step through the methods, and a greater number of the examples and topics come from medical and human health research.  Every chapter has been carefully edited for even greater clarity and ease of use. All the data sets, R scripts for all worked examples in the book, as well as many other teaching resources, are available to qualified instructors (see below).

The Analysis of Biological Data is the most widely adopted introductory biological statistics textbook. It is now used at well over 200 schools and on every continent.


The Analysis Of Biological Data

Author: Michael C. Whitlock
Publisher: Roberts and Company Publishers
ISBN: 0981519407
Size: 38.51 MB
Format: PDF, ePub, Mobi
View: 514
Download Read Online
The Analysis of Biological Data is a new approach to teaching introductory statistics to biology students. Whitlock and Schluter use several techniques to reach this unique audience. Throughout, they teach statistics in the context of interesting biological and medical examples; they emphasize intuitive understanding rather than an over-reliance on formulas; they focus on the data rather than the mathematical foundations of statistics; and they introduce - on a conceptual level - modern topics such as likelihood, regression, randomization, meta-analysis and the bootstrap. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and the wide variety of fascinating and relevant biological examples.

Data Analysis For The Life Sciences With R

Author: Rafael A. Irizarry
Publisher: Chapman and Hall/CRC
ISBN: 1498775675
Size: 52.13 MB
Format: PDF, ePub, Mobi
View: 2571
Download Read Online
This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code that performs this analysis and connect the lines of code to the statistical and mathematical concepts explained.

A Primer In Biological Data Analysis And Visualization Using R

Author: Gregg Hartvigsen
Publisher: Columbia University Press
ISBN: 0231166990
Size: 69.22 MB
Format: PDF
View: 1522
Download Read Online
R is the most widely used open-source statistical and programming environment for the analysis and visualization of biological data. Drawing on Gregg Hartvigsen's extensive experience teaching biostatistics and modeling biological systems, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences.

Underscoring the importance of R and RStudio in organizing, computing, and visualizing biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to visualize data using histograms, boxplots, barplots, scatterplots, and other common graph types. He covers testing data for normality, defining and identifying outliers, and working with non-normal data. Students are introduced to common one- and two-sample tests as well as one- and two-way analysis of variance (ANOVA), correlation, and linear and nonlinear regression analyses. This volume also includes a section on advanced procedures and a chapter introducing algorithms and the art of programming using R.

Experimental Design And Data Analysis For Biologists

Author: Gerry P. Quinn
Publisher: Cambridge University Press
ISBN: 0521009766
Size: 38.95 MB
Format: PDF, ePub
View: 513
Download Read Online
This essential textbook is designed for students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. The text begins with a revision of estimation and hypothesis testing methods, before advancing to the analysis of linear and generalized linear models. The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, log-linear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software.

R Cookbook Proven Recipes For Data Analysis Statistics And Graphics O Reilly Cookbooks

Author: Paul Teetor
Publisher: O'Reilly Media
ISBN: 0596809158
Size: 29.25 MB
Format: PDF, ePub
View: 1027
Download Read Online

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.

Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.

  • Create vectors, handle variables, and perform other basic functions
  • Input and output data
  • Tackle data structures such as matrices, lists, factors, and data frames
  • Work with probability, probability distributions, and random variables
  • Calculate statistics and confidence intervals, and perform statistical tests
  • Create a variety of graphic displays
  • Build statistical models with linear regressions and analysis of variance (ANOVA)
  • Explore advanced statistical techniques, such as finding clusters in your data

"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author


Rna Seq Data Analysis A Practical Approach Chapman Hall Crc Mathematical And Computational Biology

Author: Eija Korpelainen
Publisher: Chapman and Hall/CRC
ISBN: 1466595000
Size: 50.31 MB
Format: PDF
View: 590
Download Read Online

The State of the Art in Transcriptome Analysis
RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes.

Balanced Coverage of Theory and Practice
Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software.

The Tools and Methods to Get Started in Your Lab
Taking readers through the whole data analysis workflow, this self-contained guide provides a detailed overview of the main RNA-seq data analysis methods and explains how to use them in practice. It is suitable for researchers from a wide variety of backgrounds, including biology, medicine, genetics, and computer science. The book can also be used in a graduate or advanced undergraduate course.


Analysis Of Messy Data Volume 1 Designed Experiments Second Edition

Author: George A. Milliken
Publisher: Chapman and Hall/CRC
ISBN: 1584883340
Size: 57.48 MB
Format: PDF, ePub
View: 2935
Download Read Online

A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers analyze the kinds of data sets encountered in the real world. Written by two long-time researchers and professors, this second edition has been fully updated to reflect the many developments that have occurred since the original publication.

New to the Second Edition

  • Several modern suggestions for multiple comparison procedures
  • Additional examples of split-plot designs and repeated measures designs
  • The use of SAS-GLM to analyze an effects model
  • The use of SAS-MIXED to analyze data in random effects experiments, mixed model experiments, and repeated measures experiments

The book explores various techniques for multiple comparison procedures, random effects models, mixed models, split-plot experiments, and repeated measures designs. The authors implement the techniques using several statistical software packages and emphasize the distinction between design structure and the structure of treatments. They introduce each topic with examples, follow up with a theoretical discussion, and conclude with a case study. Bringing a classic work up to date, this edition will continue to show readers how to effectively analyze real-world, nonstandard data sets.


Handbook Of Functional Mri Data Analysis

Author: Russell A. Poldrack
Publisher: Cambridge University Press
ISBN: 0521517664
Size: 72.20 MB
Format: PDF
View: 7174
Download Read Online
Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook for Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM, and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling, and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

The Analysis Of Biological Data

Author: Michael Whitlock
Publisher: Roberts & Company
ISBN: 9781936221486
Size: 51.96 MB
Format: PDF
View: 646
Download Read Online
Readers consistently praise its clear and engaging writing and practical perspective. The second edition features over 200 new examples and problems.

The Analysis Of Biological Data

Author: Michael Whitlock
Publisher: Roberts & Company
ISBN: 9780981519401
Size: 33.86 MB
Format: PDF
View: 7220
Download Read Online
The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments.

Analysis Of Biological Data

Author: Sanghamitra Bandyopadhyay
Publisher: World Scientific
ISBN: 9812708898
Size: 75.57 MB
Format: PDF
View: 5170
Download Read Online
This book, unique in its nature, is aimed at providing a treatise in a unified framework, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the various ways in which they can ...

S Plus For The Analysis Of Biological Data

Author: Rhondda E. Jones
Publisher:
ISBN: 9780987514714
Size: 44.91 MB
Format: PDF, ePub, Mobi
View: 6594
Download Read Online
A manual to teach people to use the statistical software package S-Plus and to support the process of learning statistical concepts and methods.

Biostatistics With R

Author: Babak Shahbaba
Publisher: Springer Science & Business Media
ISBN: 1461413028
Size: 11.73 MB
Format: PDF, ePub, Mobi
View: 5168
Download Read Online
Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language.

Statistical Methods In Biology

Author: S.J. Welham
Publisher: CRC Press
ISBN: 1439808783
Size: 15.25 MB
Format: PDF, ePub, Docs
View: 5132
Download Read Online
The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience.