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Results: 1 to 20 of 96

1.

Alternative statistical parameter for high-throughput screening assay quality assessment.

Sui Y, Wu Z.

J Biomol Screen. 2007 Mar;12(2):229-34. Epub 2007 Jan 11.

PMID:
17218666
[PubMed - indexed for MEDLINE]
2.

Novel statistical approach for primary high-throughput screening hit selection.

Yan SF, Asatryan H, Li J, Zhou Y.

J Chem Inf Model. 2005 Nov-Dec;45(6):1784-90.

PMID:
16309285
[PubMed - indexed for MEDLINE]
3.

A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assays.

Zhang JH, Chung TD, Oldenburg KR.

J Biomol Screen. 1999;4(2):67-73.

PMID:
10838414
[PubMed - as supplied by publisher]
4.

Adopting a practical statistical approach for evaluating assay agreement in drug discovery.

Sun D, Whitty A, Papadatos J, Newman M, Donnelly J, Bowes S, Josiah S.

J Biomol Screen. 2005 Aug;10(5):508-16.

PMID:
16093560
[PubMed - indexed for MEDLINE]
5.

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
[PubMed - indexed for MEDLINE]
6.

Using clustering techniques to improve hit selection in high-throughput screening.

Gagarin A, Makarenkov V, Zentilli P.

J Biomol Screen. 2006 Dec;11(8):903-14. Epub 2006 Nov 7.

PMID:
17092911
[PubMed - indexed for MEDLINE]
7.

Statistical analysis of systematic errors in high-throughput screening.

Kevorkov D, Makarenkov V.

J Biomol Screen. 2005 Sep;10(6):557-67. Epub 2005 Aug 15.

PMID:
16103415
[PubMed - indexed for MEDLINE]
8.

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
[PubMed - indexed for MEDLINE]
9.

Use of mixture distributions to deconvolute the behavior of "hits" and controls in high-throughput screening data.

Buxser S, Chapman DL.

Anal Biochem. 2007 Feb 15;361(2):197-209. Epub 2006 Dec 20.

PMID:
17214952
[PubMed - indexed for MEDLINE]
10.

Improving the design and analysis of high-throughput screening technology comparison experiments using statistical modeling.

Woodward PW, Williams C, Sewing A, Benson N.

J Biomol Screen. 2006 Feb;11(1):5-12. Epub 2005 Oct 18.

PMID:
16234338
[PubMed - indexed for MEDLINE]
11.

Development of multiplexed microarray binding assays for high-throughput drug discovery.

Hong Y, Liu L, Pai S, Graf JN, Rao H, Lynn JG, van Staden C, Lee PH, Lai F, Salon JA.

Assay Drug Dev Technol. 2009 Jun;7(3):281-93. doi: 10.1089/adt.2008.180.

PMID:
19604106
[PubMed - indexed for MEDLINE]
12.

Process validation and screen reproducibility in high-throughput screening.

Coma I, Clark L, Diez E, Harper G, Herranz J, Hofmann G, Lennon M, Richmond N, Valmaseda M, Macarron R.

J Biomol Screen. 2009 Jan;14(1):66-76. doi: 10.1177/1087057108326664.

PMID:
19171922
[PubMed - indexed for MEDLINE]
13.

Analysis of large screening data sets via adaptively grown phylogenetic-like trees.

Nicolaou CA, Tamura SY, Kelley BP, Bassett SI, Nutt RF.

J Chem Inf Comput Sci. 2002 Sep-Oct;42(5):1069-79.

PMID:
12376993
[PubMed - indexed for MEDLINE]
14.

Identifying biologically active compound classes using phenotypic screening data and sampling statistics.

Klekota J, Brauner E, Schreiber SL.

J Chem Inf Model. 2005 Nov-Dec;45(6):1824-36.

PMID:
16309290
[PubMed - indexed for MEDLINE]
15.

Prediction of biological activity for high-throughput screening using binary kernel discrimination.

Harper G, Bradshaw J, Gittins JC, Green DV, Leach AR.

J Chem Inf Comput Sci. 2001 Sep-Oct;41(5):1295-300.

PMID:
11604029
[PubMed - indexed for MEDLINE]
16.

Practical outcomes of applying ensemble machine learning classifiers to High-Throughput Screening (HTS) data analysis and screening.

Simmons K, Kinney J, Owens A, Kleier DA, Bloch K, Argentar D, Walsh A, Vaidyanathan G.

J Chem Inf Model. 2008 Nov;48(11):2196-206. doi: 10.1021/ci800164u.

PMID:
18983143
[PubMed - indexed for MEDLINE]
17.

Applications of high-throughput ADME in drug discovery.

Kassel DB.

Curr Opin Chem Biol. 2004 Jun;8(3):339-45. Review.

PMID:
15183334
[PubMed - indexed for MEDLINE]
18.

Statistical decoding of potent pools based on chemical structure.

Zhu L, Hughes-Oliver JM, Young SS.

Biometrics. 2001 Sep;57(3):922-30.

PMID:
11550946
[PubMed - indexed for MEDLINE]
19.

Which aspects of HTS are empirically correlated with downstream success?

Bender A, Bojanic D, Davies JW, Crisman TJ, Mikhailov D, Scheiber J, Jenkins JL, Deng Z, Hill WA, Popov M, Jacoby E, Glick M.

Curr Opin Drug Discov Devel. 2008 May;11(3):327-37. Review.

PMID:
18428086
[PubMed - indexed for MEDLINE]
20.

Application of nearest-neighbor and cluster analyses in pharmaceutical lead discovery.

Stanton DT, Morris TW, Roychoudhury S, Parker CN.

J Chem Inf Comput Sci. 1999 Jan-Feb;39(1):21-7.

PMID:
9987851
[PubMed - indexed for MEDLINE]

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