Statistical methods and software for the analysis of highthroughput reverse genetic assays using flow cytometry readouts.
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ABSTRACT:
SUBMITTER: Hahne F
PROVIDER: S-EPMC1779598 | biostudies-literature | 2006
REPOSITORIES: biostudies-literature
Publications
Statistical methods and software for the analysis of highthroughput reverse genetic assays using flow cytometry readouts.
Hahne Florian F Arlt Dorit D Sauermann Mamatha M Majety Meher M Poustka Annemarie A Wiemann Stefan S Huber Wolfgang W
Genome biology 20060817 8
Highthroughput cell-based assays with flow cytometric readout provide a powerful technique for identifying components of biologic pathways and their interactors. Interpretation of these large datasets requires effective computational methods. We present a new approach that includes data pre-processing, visualization, quality assessment, and statistical inference. The software is freely available in the Bioconductor package prada. The method permits analysis of large screens to detect the effects ...[more]
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