Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-Scale RNAi Research
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摘要: This concise, self-contained, and cohesive book focuses on commonly used recently developed methods for designing analyzing high-throughput screening (HTS) experiments from a statistically sound basis. Combining ideas biology, computing, statistics, the author explains experimental designs analytic that are amenable to rigorous analysis interpretation of RNAi HTS experiments. The opening chapters carefully presented be accessible both biologists with training only in basic statistics computational scientists statisticians biological knowledge. Biologists will see how new experiment rudimentary data-handling strategies can improve their results, whereas analysts learn apply statistical interpret
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