Table 2. An overview of the characteristics of all case studies approached in this work.

case study	Short name	Reference	Data	Nobs	N Train	N Prediction	deg−(vi)
1a	MAPKp	[67]	in silico	4	10	10	A = 1, B = 2, C = 3
1b	MAPKf	[67]	in silico	13	10	10	A = 3, B = 4, C = 5
2	SSP	[68]	in silico	13	10	36	A = 3, B = 4, C = 5
3	DREAMiS	[69]	in silico	2	20	128	A = 3, B = 4, C = 5
4a	DREAMBT20	[70]	Experimental	54	29	8	A = 3, B = 4, C = 5
4b	DREAMBT549	[70]	Experimental	52	24	8	A = 3, B = 4, C = 5
4c	DREAMMCF7	[70]	Experimental	47	32	8	A = 3, B = 4, C = 5
4d	DREAMUACC812	[70]	Experimental	52	32	8	A = 3, B = 4, C = 5

The most relevant factors are the number of observed variables, the number of experiments considered for training, the number of experiments considered for prediction and the different maximum in-degrees tested in each case study.