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DisplayHTS: A R package for displaying data and results from high-throughput screening experiments Journal article
Bioinformatics, 2013,Volume: 29,Issue: 6,Page: 794-796
Authors:  Zhang X.D.;  Zhang Z.
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Standardized median difference for quality control in high-throughput screening Conference paper
Proceedings of 2012 International Symposium on Information Technologies in Medicine and Education, ITME 2012
Authors:  Huang W.;  Zhang X.D.;  Li Y.;  Wang W.W.;  Soper K.
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A genome-wide siRNA screen to identify modulators of insulin sensitivity and gluconeogenesis Journal article
PLoS ONE, 2012,Volume: 7,Issue: 5
Authors:  Yang R.;  Lacson R.G.;  Castriota G.;  Zhang X.D.;  Liu Y.;  Zhao W.;  Einstein M.;  Camargo L.M.;  Qureshi S.;  Wong K.K.;  Zhang B.B.;  Ferrer M.;  Berger J.P.
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Illustration of SSMD, z score, SSMD*, z* score, and t statistic for hit selection in RNAi high-throughput screens Journal article
Journal of Biomolecular Screening, 2011,Volume: 16,Issue: 7,Page: 775-785
Authors:  Zhang X.D.
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high-throughput screening  SSMD  SSMD*  t statistic  z score  z* score  
Optimal High-Throughput Screening: Practical Experimental Design and Data Analysis for Genome-scale RNAi Research Book
Cambridge University Press:9780521734448, 2011
Authors:  Zhang XD
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An effective method for controlling false discovery and false nondiscovery rates in genome-scale RNAi screens Journal article
Journal of Biomolecular Screening, 2010,Volume: 15,Issue: 9,Page: 1116-1122
Authors:  Zhang X.D.
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-value  false discovery rate  false nondiscovery rate  p  q  RNAi high-throughput screening  
The use of SSMD-based false discovery and false nondiscovery rates in genome-scale RNAi screens Journal article
Journal of Biomolecular Screening, 2010,Volume: 15,Issue: 9,Page: 1123-1131
Authors:  Zhang X.D.;  Lacson R.;  Yang R.;  Marine S.D.;  McCampbell A.;  Toolan D.M.;  Hare T.R.;  Kajdas J.;  Berger J.P.;  Holder D.J.;  Heyse J.F.;  Ferrer M.
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-value  false discovery rate  false nondiscovery rate  high-throughput screening  p  q  RNAi  
Strictly Standardized Mean Difference,Standardized Mean Difference and Classical t-test for the Comparison of Two Groups Journal article
Statistics in biopharmaceutical research, 2010,Volume: 2,Issue: 2,Page: 292-299
Authors:  Xiaohua Douglas Zhang
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Cohen's d  d+-probability  Effect Size  P-value  
Inhibition of calcineurin-mediated endocytosis and α-amino-3-hydroxy- 5-methyl-4-isoxazolepropionic acid (AMPA) receptors prevents amyloid β oligomer-induced synaptic disruption Journal article
Journal of Biological Chemistry, 2010,Volume: 285,Issue: 10,Page: 7619-7632
Authors:  Zhao W.-Q.;  Santini F.;  Breese R.;  Ross D.;  Zhang X.D.;  Stone D.J.;  Ferrer M.;  Townsend M.;  Wolfe A.L.;  Seager M.A.;  Kinney G.G.;  Shughrue P.J.;  Ray W.J.
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Error rates and powers in genome-scale RNAi screens Journal article
Journal of Biomolecular Screening, 2009,Volume: 14,Issue: 3,Page: 230-238
Authors:  Zhang X.D.;  Marine S.D.;  Ferrer M.
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False-negative rate  Power  Restricted false-positive rate  Strictly standardized mean difference  Type I error  Type II error