Predicting weighted unobserved nodes in a regulatory network using answer set programming

BMC Bioinformatics

Table 2 Table of different predicted nodes between Iggy and MajS

Name	SignMaj	Sign = “+”	Sign=“–”	Sign=“0 ”	SignIggy
PLCG1	−	[0, 0, 0]	[1344, 100, 0]	[672, 100, 0]	notPlus
PLCG2	−	[0, 0, 0]	[1344, 100, 0]	[672, 100, 0]	notPlus
RBX1	\(0 / -\)	[504, 100, 0]	[756, 100, 0]	[756, 100, 0]	0
VHL	\(0 / -\)	[504, 100, 0]	[756, 100, 0]	[756, 100, 0]	0
RELA	\(+ / 0\)	[756, 44, 16]	[504, 44, 16]	[756, 100, 0]	0
NFKB1	\(+ / 0\)	[756, 44, 16]	[504, 44, 16]	[756, 100, 0]	0
IFNGR1	\(+\)	[756, 100, 0]	[588, 100, 0]	[672, 100, 0]	0
IFNGR2	\(+\)	[756, 100, 0]	[588, 100, 0]	[672, 100, 0]	0

SignMaj refers to the majoritarian sign across all optimal answer sets. Columns 3–5 show the detailed distribution for each predicted sign across all optimal answers (in total 2016) sets according to MajS; the numbers in brackets refer to the number of answer sets where the node was fixed to this sign, the average weight and its standard deviation. SignIggy refers to the sign predicted by Iggy

ISSN: 1471-2105