Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research
This book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening experiments from a statistically sound basis.
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Produktdetails
- ISBN: 978-0-521-73444-8
- EAN: 9780521734448
- Produktnummer: 10839547
- Verlag: Cambridge
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 203 S.
- Masse: H25.4 cm x B17.9 cm x D1.5 cm 432 g
- Gewicht: 432
Über den Autor
Dr Xiaohua Douglas Zhang is an associate director at Merck Research Laboratories. He has worked on data analysis for genome-wide RNAi research and microarrays in drug discovery and development for various diseases for many years. He has continuously developed novel analytic methods and experimental designs for quality control and hit selection in genome-scale RNAi research. He and his colleagues have published many papers in various peer-reviewed journals, including Cell Host and Microbe, Nucleic Acids Research, Bioinformatics, Genetic Epidemiology, the Journal of Biological Chemistry, Pharmacogenomics, Genomics and the Journal of Biomolecular Screening, among many others.
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