Design And Analysis Of Dna Microarray Investigations
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Design And Analysis Of Dna Microarray Investigations
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Author : Richard M. Simon
language : en
Publisher: Springer Science & Business Media
Release Date : 2003
Design And Analysis Of Dna Microarray Investigations written by Richard M. Simon 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 2003 with Computers categories.
The analysis of gene expression profile data from DNA micorarray studies are discussed in this book. It provides a review of available methods and presents it in a manner that is intelligible to biologists. It offers an understanding of the design and analysis of experiments utilizing microarrays to benefit scientists. It includes an Appendix tutorial on the use of BRB-ArrayTools and step by step analyses of several major datasets using this software which is available from the National Cancer Institute.
Design And Analysis Of Dna Microarray Investigations
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Author : Richard M. Simon
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-05-09
Design And Analysis Of Dna Microarray Investigations written by Richard M. Simon 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 2006-05-09 with Medical categories.
DNA microarrays are an important technology for studying gene expression. With a single hybridization, the level of expression of thousands of genes, or even an entire genome, can be estimated for a sample of cells. Consequently, manylaboratoriesareattemptingtoutilizeDNAmicroarraysintheirresearch. Whereaslaboratoriesarewellpreparedtoaddressthesigni?cantexperimental challenges in obtaining reproducible data from this RNA-based assay, inv- tigators are less prepared to analyze the large volumes of data produced by DNA microarrays. Although many software packages have been developed for the analysis of DNA microarray data, software alone is insu?cient. One needs knowledge aboutthevariousaspectsofdataanalysisinordertoselectandutilizesoftware e?ectively. There is a plethora of analysis methods being published and it is di?cult for biologists to determine which methods are valid and appropriate for their problems. Many scientists have learned that software is not an adequate substitute for biostatistical knowledge and seek statistical collaborators. Unfortunately, there is presently a shortage of statisticians who are available and knowled- able about DNA microarrays. For statisticians to be e?ective collaborators in anyarea,theymustinvestthetimetounderstandthesubjectmatterareaand become familiar with the literature so that they can ask the right questions and identify the key issues. Our objectives in this book are twofold: to provide scientists with infor- tion about the design and analysis of studies using DNA microarrays that will enable them to plan and analyze their own studies or to work with statistical collaborators e?ectively, and to aid statistical and computational scientists wishing to develop expertise in this area.
Design And Analysis Of Dna Microarray Investigations
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Author : Richard M. Simon
language : en
Publisher:
Release Date : 2014-01-15
Design And Analysis Of Dna Microarray Investigations written by Richard M. Simon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Microarrays
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Author : Jang B. Rampal
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-07-27
Microarrays written by Jang B. Rampal 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 2007-07-27 with Medical categories.
Microarray Technology, Volumes 1 and 2, present information in designing and fabricating arrays and binding studies with biological analytes while providing the reader with a broad description of microarray technology tools and their potential applications. The first volume deals with methods and protocols for the preparation of microarrays. The second volume details applications and data analysis, which is important in analyzing the enormous data coming out of microarray experiments. Among the topics discussed in Volume 1: Synthesis Methods, are matrices in the synthesis of microarrays, array optimization processes, array-based comparative genomic hybridization, 60-mer oligonucleotide probes, bifunctional reagents NTMTA and NTPAC, and high density arrays using digital microarray synthesis platforms. Other topics include multiplex ligation-dependent probe amplification (MLPA), hybridization conditions in situ-synthesized oligo arrays, peptide arrays, high density replication tools (HDRT), protocols for the quantification of oligo hybridization, glyco-bead arrays, and an investigation into the emerging nano technology. Microarray Technology, Volumes 1 and 2, provide ample information to all levels of scientists from novice to those intimately familiar with array technology.
Dna Microarrays And Related Genomics Techniques
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Author : David B. Allison
language : en
Publisher: CRC Press
Release Date : 2005-11-14
Dna Microarrays And Related Genomics Techniques written by David B. Allison and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-11-14 with Mathematics categories.
Considered highly exotic tools as recently as the late 1990s, microarrays are now ubiquitous in biological research. Traditional statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a few short years the number of statistical papers providing approaches
Environmental Health Perspectives
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Author :
language : en
Publisher:
Release Date : 1993
Environmental Health Perspectives written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Environmental health categories.
Modeling Infectious Disease Parameters Based On Serological And Social Contact Data
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Author : Niel Hens
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-24
Modeling Infectious Disease Parameters Based On Serological And Social Contact Data written by Niel Hens 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 2012-10-24 with Medical categories.
Mathematical epidemiology of infectious diseases usually involves describing the flow of individuals between mutually exclusive infection states. One of the key parameters describing the transition from the susceptible to the infected class is the hazard of infection, often referred to as the force of infection. The force of infection reflects the degree of contact with potential for transmission between infected and susceptible individuals. The mathematical relation between the force of infection and effective contact patterns is generally assumed to be subjected to the mass action principle, which yields the necessary information to estimate the basic reproduction number, another key parameter in infectious disease epidemiology. It is within this context that the Center for Statistics (CenStat, I-Biostat, Hasselt University) and the Centre for the Evaluation of Vaccination and the Centre for Health Economic Research and Modelling Infectious Diseases (CEV, CHERMID, Vaccine and Infectious Disease Institute, University of Antwerp) have collaborated over the past 15 years. This book demonstrates the past and current research activities of these institutes and can be considered to be a milestone in this collaboration. This book is focused on the application of modern statistical methods and models to estimate infectious disease parameters. We want to provide the readers with software guidance, such as R packages, and with data, as far as they can be made publicly available.
Medical Applications Of Finite Mixture Models
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Author : Peter Schlattmann
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-02
Medical Applications Of Finite Mixture Models written by Peter Schlattmann 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 2009-03-02 with Medical categories.
Patients are not alike! This simple truth is often ignored in the analysis of me- cal data, since most of the time results are presented for the “average” patient. As a result, potential variability between patients is ignored when presenting, e.g., the results of a multiple linear regression model. In medicine there are more and more attempts to individualize therapy; thus, from the author’s point of view biostatis- cians should support these efforts. Therefore, one of the tasks of the statistician is to identify heterogeneity of patients and, if possible, to explain part of it with known explanatory covariates. Finite mixture models may be used to aid this purpose. This book tries to show that there are a large range of applications. They include the analysis of gene - pression data, pharmacokinetics, toxicology, and the determinants of beta-carotene plasma levels. Other examples include disease clustering, data from psychophysi- ogy, and meta-analysis of published studies. The book is intended as a resource for those interested in applying these methods.
Clinical Prediction Models
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Author : Ewout W. Steyerberg
language : en
Publisher: Springer
Release Date : 2019-07-22
Clinical Prediction Models written by Ewout W. Steyerberg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-22 with Medical categories.
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of avalid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies
Proportional Hazards Regression
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Author : John O'Quigley
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-25
Proportional Hazards Regression written by John O'Quigley 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 2008-01-25 with Medical categories.
The place in survival analysis now occupied by proportional hazards models and their generalizations is so large that it is no longer conceivable to offer a course on the subject without devoting at least half of the content to this topic alone. This book focuses on the theory and applications of a very broad class of models – proportional hazards and non-proportional hazards models, the former being viewed as a special case of the latter – which underlie modern survival analysis. Researchers and students alike will find that this text differs from most recent works in that it is mostly concerned with methodological issues rather than the analysis itself.