Do kim anh (18 Ergebnisse)

Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardback. Zustand: Good. The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.…

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Zustand: Very Good. In stock ready to dispatch from the UK.

Paperback. Zustand: Like New. First Edition. Firm, square and tight, just showing a few minor rubs. Hence a non-text page is stamped 'damaged'. Despite such this book looks and feels unread and is actually in nearly new condition. Thus the contents are crisp and fresh. Now offered for sale at a special bargain price.…

Zustand: Very Good.

Zustand: New. In English.

Zustand: New. Expert overviews of Bayesian methodology, tools and software for multi-platform high-throughput experimentation. Editor(s): Do, Kim-Anh; Muller, Peter; Vannucci, Marina. Num Pages: 456 pages, 22 tables. BIC Classification: PBT; PSAK. Category: (P) Professional & Vocational. Dimension: 220 x 140 x 25. Weight in Grams: 572. . 2012. Paperback. . . . . Books ship from the US and Ireland. …

Paperback. Zustand: Brand New. 1st edition. 456 pages. 8.58x5.51x1.02 inches. In Stock.

Zustand: New. pp. xx + 320 Illus.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.…

Zustand: New. In English.

Hardcover. Zustand: Brand New. 1st edition. 352 pages. 9.50x6.50x1.00 inches. In Stock.

Zustand: New. In English.

Zustand: New. This book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. Editor(s): Do, Kim-Anh; Qin, Zhaohui Steve; Vannucci, Marina. Num Pages: 514 pages, 120 b/w illus. 17 colour illus. 20 tables. BIC Classification: MBF; MBNS. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 233 x 155 x 32. Weight in Grams: 810. . 2013. Hardback. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 1st edition. 481 pages. 9.25x6.25x1.00 inches. In Stock.

Buch. Zustand: Neu. Neuware - A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples The latest data cleaning and normalization procedures The uses of microarray expression data for providing important prognostic information on the outcome of disease ; Die Analyse von Genexpressionsdaten aus Microarrays gewinnt sowohl für die Statistik als auch für die Wissenschaft immer größere Bedeutung. Die Methodologie zur Untersuchung 'bereinigter Daten' ist ein wesentlicher Aspekt dieses Bereiches. 'Analyzing Microarray Gene Expression Data' erläutert umfassend die Methodologie, die zur Analyse von Genexpressionsdaten mit Microarrays notwendig ist und geht auch ausführlich auf die Bereinigung dieser Daten ein. Der Schwerpunkt liegt auf dem Clustering von genetischem Datenmaterial. Der Band diskutiert aktuellste Forschungsergebnisse und -aktivitäten im Bereich Molekularbiologie. Darüber hinaus geht er auch auf den wichtigen allgemeinen Bereich der Bioinformatik und Genomik ein und erläutert, welche Auswirkungen die Microarray-Analyse auf diese Disziplinen hat.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Providing genome-informed personalized treatment is a goal of modern medicine. Identifying new translational targets in nucleic acid characterizations is an important step toward that goal. The information tsunami produced by such genome-scale investigations is stimulating parallel developments in statistical methodology and inference, analytical frameworks, and computational tools. Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This includes rigorous and scalable methods for simultaneously handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material is written for statisticians who are interested in modeling and analyzing high-throughput data. Chapters by experts in the field offer a thorough introduction to the biological and technical principles behind multiplatform high-throughput experimentation.…