Fitting the Parallel Mixed Model with the PMM R-package
نویسنده
چکیده
The Parallel Mixed Model (PMM) approach is suitable for hit selection and cross-comparison of RNAi screens generated in experiments that are performed in parallel under several conditions. For example, we could think of the measurements or readouts from cells under RNAi knock-down, which are infected with several pathogens or which are grown from different cell lines. PMM simultaneously takes into account all the knock-down effects in order to gain statistical power for the hit detection. As a special feature, PMM allows incorporating RNAi weights that can be assigned according to the additional information on the used RNAis or the screening quality. The theory behind PMM is shortly described in the second section (more details can be found in [1]). The third section shows the functionality of the PMM R-package by using an RNAi dataset as example.
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