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Items: 1 to 20 of 111

1.

Quantitative assessment of hit detection and confirmation in single and duplicate high-throughput screenings.

Wu Z, Liu D, Sui Y.

J Biomol Screen. 2008 Feb;13(2):159-67. doi: 10.1177/1087057107312628. Epub 2008 Jan 23.

PMID:
18216390
3.

Identifying actives from HTS data sets: practical approaches for the selection of an appropriate HTS data-processing method and quality control review.

Shun TY, Lazo JS, Sharlow ER, Johnston PA.

J Biomol Screen. 2011 Jan;16(1):1-14. doi: 10.1177/1087057110389039. Epub 2010 Dec 15.

PMID:
21160066
5.

The use of strictly standardized mean difference for hit selection in primary RNA interference high-throughput screening experiments.

Zhang XD, Ferrer M, Espeseth AS, Marine SD, Stec EM, Crackower MA, Holder DJ, Heyse JF, Strulovici B.

J Biomol Screen. 2007 Jun;12(4):497-509. Epub 2007 Apr 13.

PMID:
17435171
6.

Experimental design and statistical methods for improved hit detection in high-throughput screening.

Malo N, Hanley JA, Carlile G, Liu J, Pelletier J, Thomas D, Nadon R.

J Biomol Screen. 2010 Sep;15(8):990-1000. doi: 10.1177/1087057110377497.

PMID:
20817887
7.

Statistical practice in high-throughput screening data analysis.

Malo N, Hanley JA, Cerquozzi S, Pelletier J, Nadon R.

Nat Biotechnol. 2006 Feb;24(2):167-75.

PMID:
16465162
8.

Enhanced HTS hit selection via a local hit rate analysis.

Posner BA, Xi H, Mills JE.

J Chem Inf Model. 2009 Oct;49(10):2202-10. doi: 10.1021/ci900113d.

PMID:
19795815
10.

Understanding false positives in reporter gene assays: in silico chemogenomics approaches to prioritize cell-based HTS data.

Crisman TJ, Parker CN, Jenkins JL, Scheiber J, Thoma M, Kang ZB, Kim R, Bender A, Nettles JH, Davies JW, Glick M.

J Chem Inf Model. 2007 Jul-Aug;47(4):1319-27. Epub 2007 Jul 4.

PMID:
17608469
11.

Robust statistical methods for hit selection in RNA interference high-throughput screening experiments.

Zhang XD, Yang XC, Chung N, Gates A, Stec E, Kunapuli P, Holder DJ, Ferrer M, Espeseth AS.

Pharmacogenomics. 2006 Apr;7(3):299-309.

PMID:
16610941
12.

Hypothesis testing in high-throughput screening for drug discovery.

Prummer M.

J Biomol Screen. 2012 Apr;17(4):519-29. doi: 10.1177/1087057111431278. Epub 2012 Jan 10.

PMID:
22233646
13.

On the prediction of statistical parameters in high-throughput screening using resampling techniques.

Ilouga PE, Hesterkamp T.

J Biomol Screen. 2012 Jul;17(6):705-12. doi: 10.1177/1087057112441623. Epub 2012 Mar 29. Review. Erratum in: J Biomol Screen. 2012 Sep;17(8):1113.

PMID:
22460175
14.

Empirical Bayes screening of many p-values with applications to microarray studies.

Datta S, Datta S.

Bioinformatics. 2005 May 1;21(9):1987-94. Epub 2005 Feb 2.

PMID:
15691856
15.

Error rates and powers in genome-scale RNAi screens.

Zhang XD, Marine SD, Ferrer M.

J Biomol Screen. 2009 Mar;14(3):230-8. doi: 10.1177/1087057109331475. Epub 2009 Feb 11.

PMID:
19211781
16.

Median absolute deviation to improve hit selection for genome-scale RNAi screens.

Chung N, Zhang XD, Kreamer A, Locco L, Kuan PF, Bartz S, Linsley PS, Ferrer M, Strulovici B.

J Biomol Screen. 2008 Feb;13(2):149-58. doi: 10.1177/1087057107312035. Epub 2008 Jan 23.

PMID:
18216396
17.

A note on the false discovery rate and inconsistent comparisons between experiments.

Higdon R, van Belle G, Kolker E.

Bioinformatics. 2008 May 15;24(10):1225-8. doi: 10.1093/bioinformatics/btn120. Epub 2008 Apr 19.

PMID:
18424815
18.

The use of SSMD-based false discovery and false nondiscovery rates in genome-scale RNAi screens.

Zhang XD, Lacson R, Yang R, Marine SD, McCampbell A, Toolan DM, Hare TR, Kajdas J, Berger JP, Holder DJ, Heyse JF, Ferrer M.

J Biomol Screen. 2010 Oct;15(9):1123-31. doi: 10.1177/1087057110381919. Epub 2010 Sep 17.

PMID:
20852024
19.

An efficient method for the detection and elimination of systematic error in high-throughput screening.

Makarenkov V, Zentilli P, Kevorkov D, Gagarin A, Malo N, Nadon R.

Bioinformatics. 2007 Jul 1;23(13):1648-57. Epub 2007 Apr 26.

PMID:
17463024
20.

Multiple-testing strategy for analyzing cDNA array data on gene expression.

Delongchamp RR, Bowyer JF, Chen JJ, Kodell RL.

Biometrics. 2004 Sep;60(3):774-82.

PMID:
15339301

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