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Currently EigenMS is written in R, although original version was written in Matlab and compiled into a stand-alone executable. EigenMS is a bottom-up proteomics data normalization algorithms. EigenMS utilized singular value decomposition (SVD) to detect significant trends in the data and eliminates those attributable to bias.
EigenMS eliminates effects from known and unknown factors for multiple as well as a signle treatment group.

Project Admins:

• yuliya