Metabolites: Metabolite and Transcript Simulation Data

In dynOmics: Fast Fourier Transform to Identify Associations Between Time Course Omics Data

Description

Simulated data were received from Redestig et al., 2011. Metabolite and transcript levels were obtained using an impulse model (Chechik and Koller, 2009). Functions were used to model five different metabolite patterns and for each metabolite 50 associated transcript levels. Time lags were introduced in the range from -2 to 2 with the probability 0.1, 0.2, 0.4, 0.2, 0.1. Simulated profiles have seven time points and normal distributed noise was introduced with mean zero and standard deviation 0.1.

Usage

data(Metabolites)

Format

This data set contains the simulated expression of 5 metabolites for 7 time points.

Details

• Metabolites. data matrix with 7 rows and 5 columns. Each row represents an experimental time sample, and each column a single metabolite.

Source

The Metabolite Simulation Data is based on the the paper of Redestig et al. (2011).

References

Redestig,H. and Costa,I.G. Detection and interpretation of metabolite-transcript coresponses using combined profiling data. Bioinformatics 27(13) (2011), pp. i357 65.

dynOmics documentation built on May 1, 2019, 8:42 p.m.