Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from

This reference provides a concise overview of the key principles in dose selection and optimization and demonstrates applicability to recent successful new drug applications. Compiling key issues and

Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While

Using R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic,

Unlike other books on the modeling and analysis of experimental data, Design and Analysis of Experiments: Classical and Regression Approaches with SAS not only covers classical experimental design the

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement data processing. Presenting the first-hand insights and experien

Multivariate Generalized Linear Mixed Models Using R presents robust and methodologically sound models for analyzing large and complex data sets, enabling readers to answer increasingly complex resear

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most s

Preclinical Drug Development, Second Edition discusses the broad realm of preclinical drug development, ranging from assessment of pharmacology and toxicology to the industry trends and regulatory exp

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. Writt

Although there are numerous books on drug metabolism, Radiotracers in Drug Development is unique in explaining how radiotracers are used to elucidate a drug's absorption, distribution, metabolism, an

Best-selling author and database expert with more than 25 years of experience modeling application and enterprise data, Dr. Michael Blaha provides tried and tested data model patterns, to help readers

Generic Drug Product Development: Specialty Dosage Forms explores the issues in providing evidence of pharmaceutical equivalence and bioequivalence for specialty drug products. In addition, the book p

The broad range of G protein-coupled receptors (GPCRs) encompasses all areas of modern medicine and have an enormous impact on the process of drug development. Using disease-oriented methods to cover

Offering a detailed summary of available modeling methods, both “top-down” and “bottom-up”, this book offers systematic coverage of the use of modeling in the development and application of inorganic

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish bet

Drug delivery technologies represent a vast and vital area of research and development in pharmaceutics. The demand for innovative drug delivery systems continues to grow, and this growth drives a var

Collecting the work of the foremost scientists in the field, Discrete-Event Modeling and Simulation: Theory and Applications presents the state of the art in modeling discrete-event systems using the

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statisti

The first edition of this now classic work helped to establish mass spectrometry as the premier tool for drug metabolism studies. Completely rewritten from start to finish, Using Mass Spectrometry for

Bond graphs are especially well-suited for mechatronic systems, as engineering system modeling is best handled using a multidisciplinary approach. Bond graphing permits one to see the separate compone

This source presents the principles of cell biology, cellular pathways, and their implications for drug development in oncology. Using state-of-the-art and evidence-based literature references and rev

Coastal Lagoons: Ecosystem Processes and Modeling for Sustainable Use and Development describes the concepts, models, and data needed to design and implement management programs for long-term sustaina

Sponsor companies and CROs alike will appreciate the industry-wide analysis, practical, how-to advice, and helpful charts and checklists provided by Outsourcing in Clinical Drug Development. A panel o

Aimed at those already involved in drug development or those considering entering the field, Clinical Drug Trials and Tribulations, Second Edition comprehensibly addresses the new, day-to-day challeng

The goal of an activity-directed isolation process is to isolate bioactive compounds which may provide structural leads of therapeutic importance. The traditional process of drug development is long a

This book covers how program management and related systems and tools can be applied to improve the effectiveness and productivity of drug development and reduce time to market. It explores the roles

These multidisciplinary presentations provide information essential to devising effective drug protocols in cardiovascular drug development, facilitating the approval process. Guides researchers and d

Electronically Controlled Drug Delivery provides an overview of advances in drug delivery using electronics to regulate the delivery profile and optimize therapy. Discussing applications of electronic

The field of forensic DNA analysis has grown immensely in the past two decades and genotyping of biological samples is now routinely performed in human identification (HID) laboratories. Application areas include paternity testing, forensic casework, family lineage studies, identification of human remains, and DNA databasing. Forensic DNA Analysis: Current Practices and Emerging Technologies explores the fundamental principles and the application of technologies for each aspect of forensic DNA analysis. The book begins by discussing the value of DNA evidence and how to properly recognize, document, collect, and store it. The remaining chapters examine: The most widely adopted methods and the best practices for DNA isolation from forensic biological samples and human remainsStudies carried out on the use of both messenger RNA and small (micro) RNA profilingReal-time polymerase chain reaction (PCR) methods for quantification and assessment of human DNA prior to genotypingCapillary electr

Many researchers are choosing computational modeling of biomolecules to analyze data at a level of mechanistic detail that would otherwise prove difficult to achieve. This book reflects on the tremend

If you want to learn how to analyze your data with R, this is your book. A broad range of real-world case studies highlights the breadth and depth of the R software. This expanded second edition delve

With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent information from pharmaceutical and biomedical data. It offers a

A unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in SAS, without having to

Due to a worldwide need for lower cost drug therapy, use of generic and multi-source drug products have been increasing. To meet international patent and trade agreements, the development and sale of

Using MATLABR and SimulinkR to perform symbolic, graphical, numerical, and simulation tasks, Modeling and Analysis of Dynamic Systems provides a thorough understanding of the mathematical modeling and

An international group of leading experts in drug development and biopharmaceutical science discusses the latest advances in biodrug delivery systems and associated techniques.

Since its discovery in early 1900, turbulence has been an interesting and complex area of study. Written by international experts, Air Pollution and Turbulence: Modeling and Applications presents adva

Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity