Genomics Applications for the Developing World, Karen E. Nelson; Barbara Jones-Nelson
Автор: Cornel Mulhardt Название: Molecular Biology and Genomics, ISBN: 0120885468 ISBN-13(EAN): 9780120885466 Издательство: Elsevier Science Рейтинг: Цена: 6772.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Never before has it been so critical for lab workers to possess the proper tools and methodologies necessary to determine the structure, function, and expression of the corresponding proteins encoded in the genome. Mulhardt's Molecular Biology and Genomics helps aid in this daunting task by providing the reader with tips and tricks for more successful lab experiments. This strategic lab guide explores the current methodological variety of molecular biology and genomics in a simple manner, addressing the assets and drawbacks as well as critical points. It also provides short and precise summaries of routine procedures as well as listings of the advantages and disadvantages of alternative methods.
Название: Data Mining and Applications in Genomics ISBN: 9048180406 ISBN-13(EAN): 9789048180400 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.
Описание: Derived from Ben Pierce's popular and acclaimed Genetics: A Conceptual Approach, this streamlined text covers basic transmission, molecular, and population genetics.
Автор: Sandrine Dudoit; Mark J. van der Laan Название: Multiple Testing Procedures with Applications to Genomics ISBN: 1441923799 ISBN-13(EAN): 9781441923790 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. These are applied to a range of problems in biomedical and genomic research.
Название: Data Mining and Applications in Genomics ISBN: 1402089740 ISBN-13(EAN): 9781402089749 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.
Автор: Dudoit Название: Multiple Testing Procedures with Applications to Genomics ISBN: 0387493166 ISBN-13(EAN): 9780387493169 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. The methods are applied to a range of testing problems in biomedical and genomic research, including the identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments, such as microarray experiments; tests of association between gene expression measures and biological annotation metadata (e.g., Gene Ontology); sequence analysis; and the genetic mapping of complex traits using single nucleotide polymorphisms. The book is aimed at both statisticians interested in multiple testing theory and applied scientists encountering high-dimensional testing problems in their subject matter area. Specifically, the book proposes resampling-based single-step and stepwise multiple testing procedures for controlling a broad class of Type I error rates, defined as tail probabilities and expected values for arbitrary functions of the numbers of Type I errors and rejected hypotheses (e.g., false discovery rate). Unlike existing approaches, the procedures are based on a test statistics joint null distribution and provide Type I error control in testing problems involving general data generating distributions (with arbitrary dependence structures among variables), null hypotheses, and test statistics. The multiple testing results are reported in terms of rejection regions, parameter confidence regions, and adjusted p-values.
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