Aug 062013
 

HTSmix 1.0

:: DESCRIPTION

HTSmix represents the structure of signals in the screen using linear mixed models, normalizes and summarizes the phenotypes to make them comparable across samples, and outputs a list of hits while controlling the False Discovery Rate. The methodology is appropriate for experimental designs with at least two control samples profiled throughout the screen.

::DEVELOPER

Laboratory for Statistical Proteomics and Bioinformatics , Purdue University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ MacOsX/ Windows
  • R package

:: DOWNLOAD

 HTSmix

:: MORE INFORMATION

Citation

D. Yu, J. Danku, I. Baxter, S. Kim, O. K. Vatamaniuk, D. E. Salt, O. Vitek.
Noise reduction in genome-wide perturbation screens using linear mixed-effect models”,
Bioinformatics, 27, p. 2173-2180, 2011.

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