Table 2

Features used for classification
# Feature Description Data
1 m(rxx;RM) mean autocorrelation function RM
2 s(rxx;RM) standard deviation of autocorrelation function RM
3 m(rxx;PM) mean autocorrelation function PM
4 s(rxx;PM) standard deviation of autocorrelation function PM
5 m(rxy;RM,PM) mean cross-correlation function RM and PM
6 s(rxy;RM,PM) standard deviation of cross-correlation function RM and PM
7 m(rxy;PM,EM) mean cross-correlation function PM and EM
8 s(rxy;PM,EM) standard deviation of cross-correlation function PM and EM
9 m(d(RM)) mean decay time RM
10 s(d(RM)) standard deviation of decay time RM

Summary of the 10 variables we use to define a feature vector for a model M.

Emmert-Streib et al.

Emmert-Streib et al. BMC Bioinformatics 2012 13:152   doi:10.1186/1471-2105-13-152

Open Data