Microarray Methods for Drug Discovery, Sridar V. Chittur

Автор: Andrei Y. Yakovlev; Lev Klebanov; Daniel Gaile
Название: Statistical Methods for Microarray Data Analysis
ISBN: 1493950797 ISBN-13(EAN): 9781493950799
Издательство: Springer
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Описание: In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis.

Автор: Kimberly F. Johnson; Simon M. Lin
Название: Methods of Microarray Data Analysis III
ISBN: 1475785046 ISBN-13(EAN): 9781475785043
Издательство: Springer
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Описание: Three tutorial papers are presented to assist with a basic understanding of underlying principles in microarray data analysis, and twelve new papers are highlighted analyzing the same CAMDA`02 datasets: the Project Normal data set or the Affymetrix Latin Square data set.

Автор: Simon M. Lin (Editor), Kimberly F. Johnson
Название: Methods of Microarray Data Analysis II: Papers from CAMDA `01
ISBN: 1475788312 ISBN-13(EAN): 9781475788310
Издательство: Springer
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Описание: In a single reference, readers can learn about the most up-to-date methods, ranging from data normalization, feature selection, and discriminative analysis to machine learning techniques. Methods of Microarray Data Analysis II focuses on a single data set, using a different method of analysis in each chapter.

Автор: Sridar V. Chittur
Название: Microarray Methods for Drug Discovery
ISBN: 1493957392 ISBN-13(EAN): 9781493957392
Издательство: Springer
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Описание: Authoritative and cutting-edge, this book provides a single volume reference for all types of microarrays. It supplies new information on microarrays for cytogenetics and drug metabolism, and covers a wide range of microarray platforms.

Автор: Jennifer S. Shoemaker; Simon M. Lin
Название: Methods of Microarray Data Analysis IV
ISBN: 1489987843 ISBN-13(EAN): 9781489987846
Издательство: Springer
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Описание: As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA conference plays a role in this evolving field by providing a forum in which investors can analyze the same data sets using different methods. Methods of Microarray Data Analysis IV is the fourth book in this series, and focuses on the important issue of associating array data with a survival endpoint. Previous books in this series focused on classification (Volume I), pattern recognition (Volume II), and quality control issues (Volume III). In this volume, four lung cancer data sets are the focus of analysis. We highlight three tutorial papers, including one to assist with a basic understanding of lung cancer, a review of survival analysis in the gene expression literature, and a paper on replication. In addition, 14 papers presented at the conference are included. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state of the art of microarray data analysis. Jennifer Shoemaker is a faculty member in the Department of Biostatistics and Bioinformatics and the Director of the Bioinformatics Unit for the Cancer and Leukemia Group B Statistical Center, Duke University Medical Center. Simon Lin is a faculty member in the Department of Biostatistics and Bioinformatics and the Manager of the Duke Bioinformatics Shared Resource, Duke University Medical Center.

Автор: Patrick McConnell; Simon Lin; Patrick Hurban
Название: Methods of Microarray Data Analysis V
ISBN: 1441941797 ISBN-13(EAN): 9781441941794
Издательство: Springer
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Описание: This book is dedicated solely to the analysis of microarray data. Its unique approach of presenting different methods by analyzing the same data set shows the strengths and weakness of each method. Part of the book is devoted to review papers, which provide a more general look at various analytical approaches.

Автор: Simon M. Lin; Kimberly F. Johnson
Название: Methods of Microarray Data Analysis
ISBN: 1461352819 ISBN-13(EAN): 9781461352815
Издательство: Springer
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Описание: Papers from CAMDA 2000, December 18-19, 2000, Duke University, Durham, NC, USA

Автор: Michael J. Korenberg
Название: Microarray Data Analysis
ISBN: 1627039090 ISBN-13(EAN): 9781627039093
Издательство: Springer
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Описание: In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Information on an array of topics is included in this innovative book including in-depth insights into presentations of genomic signal processing.

Автор: Catherine J. Wu
Название: Protein Microarray for Disease Analysis
ISBN: 1493961748 ISBN-13(EAN): 9781493961740
Издательство: Springer
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Описание: This comprehensive survey of the field sees expert researchers provide concise descriptions of the most up-to-date methodologies used to fabricate microarrays for the analysis of proteins or responses to proteins that help inform our study of human disease.

Автор: Paul C.H. Li; Abootaleb Sedighi; Lin Wang
Название: Microarray Technology
ISBN: 1493949071 ISBN-13(EAN): 9781493949076
Издательство: Springer
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Описание: This volume provides updates of this established field in both methods and applications, as well as advances in applications of the microarray method to biomarkers such as DNAs, RNAs, proteins, glycans and whole cells.