Analysis of high-throughput screening assays using cluster enrichment

Author:

Pu Minya1,Hayashi Tomoko2,Cottam Howard2,Mulvaney Joseph3,Arkin Michelle3,Corr Maripat2,Carson Dennis2,Messer Karen1

Affiliation:

1. Biostatistics/Bioinformatics Shared Resources; Moores Cancer Center, University of California San Diego; La Jolla CA 92093-0901 U.S.A.

2. Moores Cancer Center; University of California San Diego; La Jolla CA 92093-0695 U.S.A.

3. University of California, San Francisco, Small Molecule Discovery Center; San Francisco CA 94158-2330 U.S.A.

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference28 articles.

1. Practical approaches to efficient screening: information-rich screening protocol;Karnachi;Journal of Biomolecular Screening,2004

2. Identifying biologically active compound clusters using phenotypic screening data and sampling statistics;Klekota;Journal of Chemical Information and Modeling,2005

3. Novel statistical approach for primary high-throughput screening hit selection;Yan;Journal of Chemical Information and Modeling,2005

4. Enhanced HTS hit selection via a local hit rate analysis;Posner;Journal of Chemical Information and Modeling,2009

5. Compound set enrichment: a novel approach to analysis of primary HTS data;Varin;Journal of Chemical Information and Modeling,2010

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