Transcriptome dynamics-based operon prediction in prokaryotes

BMC Bioinformatics

Table 6 Accuracy values obtained with RF-classifiers tested on different datasets

Genome	Condition	Original dataset	Different condition	Different genomes/conditions
		EC1	EC2	SE1	S2
E. coli	EC1	0.98	0.84 (0.001)	0.83 (0.004)	0.83 (0.01)
		EC2	EC2	SE1	SE2
	EC2	0.98	0.86 (0.001)	0.83 (0.004)	0.81 (0.01)
		SE1	SE1	EC1	EC2
S. enterica	SE1	0.97	0.93 (0.001)	0.92 (0.01)	0.91 (0.001)
		SE2	SE2	EC1	EC2
	SE2	0.98	0.87 (0.001)	0.85 (0.02)	0.86 (0.004)

The accuracy values obtained performing a classifier trained on one dataset and tested on different data sets of different conditions and different organisms. Each test was conducted running the RF-based classifier on 50 bootstrap samples compiled from a different dataset and using the corresponding accuracy values to execute a t-test. All the p-values were less than 0.001.

ISSN: 1471-2105