Correction: An ImmunoSignature test distinguishes Trypanosoma cruzi, hepatitis B, hepatitis C and West Nile virus seropositivity among asymptomatic blood donors

There are errors in Tables 3–5 which arose during typesetting. The publisher apologizes for these errors.

Table 3. Top ranking alignments of informative library peptides to the T. cruzi proteome.

	T. cruzi protein	Total Score	Target 20mer	# peptide hits	TrTrypDB Gene ID
1	Mucin: TcMucII*	3473	TRAPSRLREVDGSLGSSAWV	63	TcCLB.509753.300
2	Uncharacterized protein	3329	RRLSYRLRKREDGESYESYL	59	TcCLB.510575.140
3	Uncharacterized protein	3181	VPVLRVVDAEADERERNGAG	56	TCSYLVIO_001012
4	Calmodulin*	3096	TEVDVREALRVLDADGDGFL	57	TcCLB.510121.50
5	Uncharacterized protein	3091	SYRQQRYVDALRFALEEDHE	56	TcCLB.508269.50
6	Mucin: TcMucII*	3032	RAPSRLREFDGSLSSSAWVC	56	TcCLB.506741.110
7	Uncharacterized protein	3007	KLRQLDFVEDVLRKHPDKVE	52	TcCLB.507011.170
8	Dispersed gene family protein 1 (DGF-1)*	2983	HRGGLEALLRDGEDGDEDAQ	58	TcCLB.509735.84
9	Uncharacterized protein	2973	LPAQDSVVVRRLVDGQAPLR	51	TcCLB.506267.48
10	Vacuolar protein sorting-associated protein (Vps26)	2966	ERSPGLLGRLLRKVDGCDVR	52	TCSYLVIO_008174

* The families in which these proteins are members have been previously identified as antigenic

Table 5. Confusion matrix and performance estimates of the multiclass prediction model.

IST Classification	Blood Bank Confirmed Diagnosis				Performance Summary
	T. cruzi +	HBV+	HCV+	WNV+	Sensa	Specb	AUC
T. cruzi+	77	3	1	2	93%	96%	0.98
HBV+	3	79	12	2	82%	96%	0.96
HCV+	0	3	55	2	92%	94%	0.95
WNV+	8	3	3	82	85%	97%	0.97
Totals	88	88	71	88	Overall accuracy = 87%

^aSens, sensitivity

^bSpec, specificity

Table 4. Binary classification of each of four disease classes versus a combined class of the remaining three.

Classes	AUC	Sensitivity@ 90% speca	Specificity@ 90% sensb	Accuracy@ speca=sensb	Model size (k)
T. cruzi vs. Other	0.97 (0.96-0.98)	92% (90%-94%)	94% (90%-96%)	92% (90%-92%)	50
HBV vs. Other	0.94 (0.93-0.95)	85% (78%-90%)	85% (78%-90%)	87% (85%-90%)	16000
HCV vs. Other	0.96 (0.94-0.97)	90% (86%-94%)	91% (82%-96%)	90% (88%-93%)	100
WNV vs. Other	0.96 (0.95-0.97)	87% (78%-94%)	88% (84%-92%)	89% (86%-91%)	1000

^aspec, specificity

^bsens, sensitivity