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
:: 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.