Learning a Markov Logic network for supervised gene regulatory network inference

BMC Bioinformatics

Table 1 Summary of the three experimental studies

Study	Positive set	Negative set	Protocol
1	$R_{1}^{+}$	R1,i −,i = 1,…,30	10-CV on $R_{1}^{+} \cup R_{1, i}^{-}$
2	$R_{1}^{+}$	R1,i−,i = 1,…,30	AB on $R_{1}^{+} \cup R_{1, i}^{-}$ , test on $R_{2}^{+} ∖ R_{1}^{+}$
3	$R_{2}^{+}$	R2,i−,i = 1,…,30	AB on $R_{2}^{+} \cup R_{2, i}^{-}$ , test on R₃

We conducted three experimental studies on the gene regulatory network associated with ID2 in human cells. In the table, 10-CV means cross-validation 10 times and AB means Asymmetric Bagging.

ISSN: 1471-2105