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

Table 3

Correlations between rank changes and AUC scores of 10-fold cross-validation.

Organisms	Correlations	value
ACA	0.66774	0.0005
BAS	0.50475	0.0140
BAT	0.61735	0.0017
BUT	0.64683	0.0009
CAC	0.64730	0.0008
CAJ	0.52945	0.0094
ESC	0.69090	0.0003
FRN	0.70211	0.0002
MYT	0.58115	0.0036
MYG	0.58017	0.0037
MYP	0.67868	0.0004
POG	0.58558	0.0033
PSA	0.62930	0.0013
SA14028S	0.36461	0.0872
SAL	0.66214	0.0006
SAS	0.69220	0.0003
SAT	0.70091	0.0002
SHO	0.73831
SPW	0.66206	0.0006
STAN315	0.50613	0.0137
STANCTC	0.54941	0.0066
STR	0.37110	0.0813
STS	0.58267	0.0035
STT	0.70091	0.0002
VIC	0.65402	0.0007

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