02215nam a22003618a 4500001001600000003000700016005001700023006001900040007001500059008004100074020002600115020002900141020003000170040002400200050002400224082001600248100003700264245016800301264005200469300005900521336002600580337002600606338003600632500007300668520086700741650004901608650002601657650002401683650002101707776003501728856007101763999001901834CR9780511973888UkCbUP20180107143414.0m|||||o||d||||||||cr||||||||||||101011s2011||||enk     s     ||1 0|eng|d  a9780511973888 (ebook)  z9780521517713 (hardback)  z9780521734448 (paperback)  aUkCbUPcUkCbUPerda00aRS419.5 b.Z43 201100a615/.192221 aZhang, Xiaohua Douglas,eauthor.10aOptimal High-Throughput Screening :bPractical Experimental Design and Data Analysis for Genome-Scale RNAi Research / [electronic resource]cXiaohua Douglas Zhang. 1aCambridge :bCambridge University Press,c2011.  a1 online resource (232 pages) :bdigital, PDF file(s).  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  aTitle from publisher's bibliographic system (viewed on 09 Oct 2015).  aThis 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 both to biologists with training only in basic statistics and to computational scientists and statisticians with basic biological knowledge. Biologists will see how new experiment designs and rudimentary data-handling strategies for RNAi HTS experiments can improve their results, whereas analysts will learn how to apply recently developed statistical methods to interpret HTS experiments. 0aHigh throughput screening (Drug development) 0aSmall interfering RNA 0aExperimental design 0aRNA Interference08iPrint version: z978052151771340uhttp://dx.doi.org/10.1017/CBO9780511973888zCambridge Books Online  c236616d236616