Prediction of sgRNA on-target activity in bacteria by deep learning

BMC Bioinformatics

Table 6 Average performances in training set and test set under 5-fold cross-validation for fifteen feature combinations by Linear Regression

Combinations	Cas9		eSpCas9		Cas9 (△recA)
	training set	test set	training set	test set	training set	test set
t	0.1782	0.1777	0.1604	0.1604	0.1070	0.1056
p	0.1217	0.1207	0.1121	0.1121	0.0630	0.0604
f	0.0962	0.0956	0.0947	0.0940	0.0674	0.0667
t_p	0.1931	0.1917	0.1772	0.1759	0.1157	0.1130
t_f	0.1888	0.1880	0.1740	0.1724	0.1191	0.1174
p_f	0.1480	0.1467	0.1408	0.1399	0.0864	0.0837
t_p_f	0.2026	0.2010	0.1892	0.1875	0.1258	0.1228
c	0.6631	0.5817	0.8060	0.7105	0.4765	0.3602
t_c	0.6631	0.5813	0.8064	0.7112	0.4747	0.3574
p_c	0.6636	0.5827	0.8068	0.7122	0.4768	0.3601
f_c	0.6650	0.5851	0.8077	0.7137	0.4773	0.3639
t_p_c	0.6637	0.5824	0.8072	0.7125	0.4753	0.3579
t_f_c	0.6655	0.5848	0.8085	0.7142	0.4753	0.3619
p_f_c	0.6656	0.5861	0.8085	0.7149	0.4775	0.3640
t_p_f_c	0.6663	0.5860	0.8092	0.7155	0.4758	0.3624

ISSN: 1471-2105