Abstract | Keywords | Export | Availability | Bookmark

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is targeted to biologists with limited statistical background and to statisticians and computer scientists interested in being effective collaborators on multi-disciplinary DNA microarray projects. State-of-the-art analysis methods are presented with minimal mathematical notation and a focus on concepts. This book is unique because it is authored by statisticians at the National Cancer Institute who are actively involved in the application of microarray technology. Many laboratories are not equipped to effectively design and analyze studies that take advantage of the promise of microarrays. Many of the software packages available to biologists were developed without involvement of statisticians experienced in such studies and contain tools that may not be optimal for particular applications. This book provides a sound preparation for designing microarray studies that have clear objectives, and for selecting analysis tools and strategies that provide clear and valid answers. The book offers an in depth understanding of the design and analysis of experiments utilizing microarrays and should benefit scientists regardless of what software packages they prefer. In order to provide all readers with hands on experience in data analysis, 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 freely available from the National Cancer Institute for non-commercial use. The authors are current or former members of the Biometric Research Branch at the National Cancer Institute. They have collaborated on major biomedical studies utilizing microarrays and in the development of statistical methodology for the design and analysis of microarray investigations. Dr. Simon, chief of the branch, is also the architect of BRB-ArrayTools.

Mathematical statistics --- DNA microarrays --- Puces à ADN --- Statistical methods --- Méthodes statistiques --- DNA microarrays -- Statistical methods. --- Electronic books. -- local. --- Genetics -- Research. --- Statistics as Topic --- Decision Support Techniques --- Molecular Probe Techniques --- Methods --- Sequence Analysis --- Microarray Analysis --- Nucleic Acid Hybridization --- Research --- Genetic Techniques --- Medical Informatics Applications --- Investigative Techniques --- Microchip Analytical Procedures --- Epidemiologic Methods --- Science --- Health Care Evaluation Mechanisms --- Chemistry Techniques, Analytical --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Natural Science Disciplines --- Quality of Health Care --- Medical Informatics --- Public Health --- Environment and Public Health --- Information Science --- Health Care Quality, Access, and Evaluation --- Disciplines and Occupations --- Health Care --- Data Interpretation, Statistical --- Research Design --- Oligonucleotide Array Sequence Analysis --- Human Anatomy & Physiology --- Health & Biological Sciences --- Animal Biochemistry --- 519.242 --- 577.212 --- Experimental design. Optimal designs. Block designs --- Central dogma of molecular biology. Coding of inheritance information. The genetic code and its chemical nature --- 577.212 Central dogma of molecular biology. Coding of inheritance information. The genetic code and its chemical nature --- 519.242 Experimental design. Optimal designs. Block designs --- Genetics --- Statistical methods. --- Research. --- Puces à ADN --- Méthodes statistiques --- EPUB-LIV-FT SPRINGER-B --- Medicine. --- Cancer research. --- Molecular biology. --- Pharmacology. --- Health informatics. --- Bioinformatics. --- Statistics. --- Biomedicine. --- Cancer Research. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Molecular Medicine. --- Pharmacology/Toxicology. --- Health Informatics. --- DNA biochips --- Microarrays, DNA --- Biochips --- Immobilized nucleic acids --- Oncology. --- Toxicology. --- Medical records --- Data processing. --- Statistics . --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Drug effects --- Medical pharmacology --- Medical sciences --- Chemicals --- Chemotherapy --- Drugs --- Pharmacy --- Molecular biochemistry --- Molecular biophysics --- Biochemistry --- Biophysics --- Biomolecules --- Systems biology --- Statistical analysis --- Statistical data --- Statistical science --- Mathematics --- Econometrics --- Bio-informatics --- Biological informatics --- Biology --- Computational biology --- Cancer research --- Data processing --- Physiological effect