SDRS--an algorithm for analyzing large-scale dose-response data

Bioinformatics. 2011 Oct 15;27(20):2921-3. doi: 10.1093/bioinformatics/btr489. Epub 2011 Aug 24.

Abstract

Summary: Dose-response information is critical to understanding drug effects, yet analytical methods for dose-response assays cannot cope with the dimensionality of large-scale screening data such as the microarray profiling data. To overcome this limitation, we developed and implemented the Sigmoidal Dose Response Search (SDRS) algorithm, a grid search-based method designed to handle large-scale dose-response data. This method not only calculates the pharmacological parameters for every assay, but also provides built-in statistic that enables downstream systematic analyses, such as characterizing dose response at the transcriptome level.

Availability: Bio::SDRS is freely available from CPAN (www.cpan.org).

Contacts: [email protected]; [email protected]

Supplementary information: Supplementary data is available at Bioinformatics online.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Dose-Response Relationship, Drug
  • Gene Expression Profiling / methods*
  • Transcriptome / drug effects*