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Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research

Xiaohua Douglas Zhang




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 | #2987946 in Books |  Cambridge University Press |  2011-02-21 | Original language:English | PDF # 1 |  9.96 x.51 x8.46l,.97 | File type: PDF | 224 pages

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||1 of 1 people found the following review helpful.| Four Stars|By W. Raynor|Aimed towards the practicioner, rather than statisticians. Brings together much of his previously published work.|About the Author|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 continuo

This concise, self-contained, and cohesive book focuses on commonly used and recently developed methods for designing and analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas from biology, computing, and statistics, the author explains experimental designs and analytic methods that are amenable to rigorous analysis and interpretation of RNAi HTS experiments. The opening chapters are carefully presented to be accessible b...

You easily download any file type for your device.Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research   |  Xiaohua Douglas Zhang.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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