Statistical methods and software for the analysis of highthroughput reverse genetic assays using flow cytometry readouts

@article{Hahne2006StatisticalMA,
  title={Statistical methods and software for the analysis of highthroughput reverse genetic assays using flow cytometry readouts},
  author={Florian Hahne and Dorit Arlt and Mamatha Sauermann and Meher Majety and Annemarie Poustka and Stefan Wiemann and Wolfgang Huber},
  journal={Genome Biology},
  year={2006},
  volume={7},
  pages={R77 - R77}
}
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… CONTINUE READING
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