An Approach for Predicting Essential Genes Using Multiple Homology Mapping and Machine Learning Algorithms

Table 2

Correlations between evolutionary distances and feature scores for each target organism.

Organisms	Correlations	value
ACA	−0.45204	0.0266
BAS	−0.37043	0.0075
BAT	−0.50001	0.0128
BUT	−0.41124	0.0459
CAC	−0.41482	0.0439
CAJ	−0.23786	0.2631
ESC	−0.50218	0.0120
ESC_PEC	−0.52353	0.0087
FRN	−0.39292	0.0575
MYT	−0.35883	0.0851
MYG	−0.49728	0.0134
MYP	−0.54766	0.0056
POG	−0.46123	0.0233
PSA	−0.60836	0.0016
SA14028S	−0.60533	0.0017
SAL	−0.28669	0.1744
SAS	−0.24910	0.2405
SAT	−0.31248	0.1371
SHO	−0.50456	0.0119
SPW	−0.65577	0.0005
STN315	−0.11162	0.6036
STNCTC	0.03883	0.8570
STR	0.11619	0.5887
STS	0.24868	0.2413
STT	0.19591	0.3589
VIC	−0.50718	0.0114

represents that the correlation is significant at the 0.05 level; represents that the correlation is significant at the 0.01 level.