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Dna Methylation Microarrays

Author: Sun-Chong Wang
Publisher: CRC Press
ISBN: 9781420067286
Size: 26.20 MB
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Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply to microarray-based gene expression and histone modification (ChIP-on-chip) studies. After introducing basic statistics, the book describes wet-bench technologies that produce the data for analysis and explains how to preprocess the data to remove systematic artifacts resulting from measurement imperfections. It then explores differential methylation and genomic tiling arrays. Focusing on exploratory data analysis, the next several chapters show how cluster and network analyses can link the functions and roles of unannotated DNA elements with known ones. The book concludes by surveying the open source software (R and Bioconductor), public databases, and other online resources available for microarray research. Requiring only limited knowledge of statistics and programming, this book helps readers gain a solid understanding of the methodological foundations of DNA microarray analysis.

Randomized Phase Ii Cancer Clinical Trials

Author: Sin-Ho Jung
Publisher: CRC Press
ISBN: 143987185X
Size: 67.91 MB
Format: PDF, ePub
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In cancer research, a traditional phase II trial is designed as a single-arm trial that compares the experimental therapy to a historical control. This simple trial design has led to several adverse issues, including increased false positivity of phase II trial results and negative phase III trials. To rectify these problems, oncologists and biostatisticians have begun to use a randomized phase II trial that compares an experimental therapy with a prospective control therapy. Randomized Phase II Cancer Clinical Trials explains how to properly select and accurately use diverse statistical methods for designing and analyzing phase II trials. The author first reviews the statistical methods for single-arm phase II trials since some methodologies for randomized phase II trials stem from single-arm phase II trials and many phase II cancer clinical trials still use single-arm designs. The book then presents methods for randomized phase II trials and describes statistical methods for both single-arm and randomized phase II trials. Although the text focuses on phase II cancer clinical trials, the statistical methods covered can also be used (with minor modifications) in phase II trials for other diseases and in phase III cancer clinical trials. Suitable for cancer clinicians and biostatisticians, this book shows how randomized phase II trials with a prospective control resolve the shortcomings of traditional single-arm phase II trials. It provides readers with numerous statistical design and analysis methods for randomized phase II trials in oncology.

Bayesian Methods In Health Economics

Author: Gianluca Baio
Publisher: CRC Press
ISBN: 1439895554
Size: 54.17 MB
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Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian statistics using accessible mathematics. The next chapters describe the theory and practice of cost-effectiveness analysis from a statistical viewpoint, and Bayesian computation, notably MCMC. The final chapter presents three detailed case studies covering cost-effectiveness analyses using individual data from clinical trials, evidence synthesis and hierarchical models and Markov models. The text uses WinBUGS and JAGS with datasets and code available online.

Applied Meta Analysis With R

Author: Ding-Geng (Din) Chen
Publisher: CRC Press
ISBN: 1466505990
Size: 25.47 MB
Format: PDF, Docs
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In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis methods to real data using R. Drawing on their extensive research and teaching experiences, the authors provide detailed, step-by-step explanations of the implementation of meta-analysis methods using R. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R packages and functions. This systematic approach helps readers thoroughly understand the analysis methods and R implementation, enabling them to use R and the methods to analyze their own meta-data. Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R) in public health, medical research, governmental agencies, and the pharmaceutical industry.

Design And Analysis Of Clinical Trials For Predictive Medicine

Author: Shigeyuki Matsui
Publisher: CRC Press
ISBN: 1466558164
Size: 13.26 MB
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Design and Analysis of Clinical Trials for Predictive Medicine provides statistical guidance on conducting clinical trials for predictive medicine. It covers statistical topics relevant to the main clinical research phases for developing molecular diagnostics and therapeutics—from identifying molecular biomarkers using DNA microarrays to confirming their clinical utility in randomized clinical trials. The foundation of modern clinical trials was laid many years before modern developments in biotechnology and genomics. Drug development in many diseases is now shifting to molecularly targeted treatment. Confronted with such a major break in the evolution toward personalized or predictive medicine, the methodologies for design and analysis of clinical trials is now evolving. This book is one of the first attempts to contribute to this evolution by laying a foundation for the use of appropriate statistical designs and methods in future clinical trials for predictive medicine. It is a useful resource for clinical biostatisticians, researchers focusing on predictive medicine, clinical investigators, translational scientists, and graduate biostatistics students.

Biochemie

Author: Lubert Stryer
Publisher: Vieweg+Teubner Verlag
ISBN: 9783663001096
Size: 55.68 MB
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Methoden Der Bioinformatik

Author: Marc-Thorsten Hütt
Publisher: Springer-Verlag
ISBN: 3662461501
Size: 32.14 MB
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Schritt für Schritt zu den Konzepten Die Autoren führen den Leser von den mathematischen Grundlagen zu den konkreten Methoden der Bioinformatik. Das Buch wendet sich damit an alle, die bioinformatische Methoden und Softwarepakete verwenden wollen, sie aber nicht als Black Boxes akzeptieren möchten. Ein besonderes Highlight ist die schrittweise Implementierung wichtiger Algorithmen der Bioinformatik im Computeralgebra-Programm Mathematica, um die Konzepte auch auf der informatischen Ebene zu verstehen. Das Themenspektrum reicht von bioinformatischen Alltagsfragen bis in die Systembiologie. Die zweite, stark erweiterte Auflage geht auch auf eine Reihe sehr aktueller Themen der Bioinformatik ein, etwa Next-Generation Sequencing (NGS), GWAS-Daten und Protein-Interaktions-Netzwerke. Der Inhalt ist spannend und leicht verständlich.

Immobilisierte Biokatalysatoren

Author: Winfried Hartmeier
Publisher: Springer-Verlag
ISBN: 3662078627
Size: 14.75 MB
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Obwohl oder gerade weil eine kaum mehr überschaubare Zahl von Publi kationen auf dem Gebiet der Immobilisierung von Biokatalysatoren existiert, ist es für den Anfänger, der einen Einstieg sucht, auf diesem Gebiet oft schwer, geeignete Informationen aus der Flut von Originalarbeiten herauszufinden. Einige gute, fast immer aber eng lischsprachige Monographien sind entweder außerordentlich umfang reich und teuer, oder sie behandeln nur ausgewählte Teilaspekte der Immobilisierung. Dem will die vorliegende Einführung abhelfen. Sie soll dem Leser zu einem raschen Überblick verhelfen und ihm den inzwischen abgesicherten Kenntnisstand nach Art eines kurzen Lehr buches vermitteln. Das Buch ist aus Erfahrungen in Vorlesungen, Praktika und Kursen entstanden. Es soll sich maßgeblich an Lernende wenden, auch wenn "Immobilisierte Biokatalysatoren" bisher noch nicht zum Stan dardrepertoire der Lehre an deutschen Universitäten und Fachhoch schulen gehören. Es ist jedoch die Oberzeugung des Autors, daß sich dies in den kommenden Jahren mit der wachsenden Bedeutung dieses Gebietes und mit der allgemeinen Etablierung der Biotechnologie an den Hochschulen ändern wird. Ober den Kreis der Studenten und Dozen ten hinaus wendet sich die Einführung aber auch an die vielen Natur wissenschaftler und Techniker der industriellen Praxis, die sich mit immobilisierten Biokatalysatoren befassen und sich dazu ein ent sprechendes Grundwissen aneignen wollen.