Coexpression Analysis of Transcriptome on AIDS and Other Human Disease Pathways by Canonical Correlation Analysis

Table 2

Typical disease pathways have high coexpression with ARGs. r is the correlation factor; Sa, standard deviation of canonical variables in a (ARGs); Sb, standard deviation of canonical variables in b (disease pathways); Wilks, Wilks’ lambda (likelihood ratio) statistic; and Chisq, Bartlett’s approximate chi-squared statistic for H(k)0 with Lawley’s modification.

Pathway ID	Pathways	r	Sa	Sb	Wilks	Chisq
5166	HTLV-I infection	0.988	0.0064	0.0119		129868.5
5168	Herpes simplex infection	0.987	0.0064	0.0112		107961
5169	Epstein-Barr virus infection	0.987	0.0065	0.0120		112040.6
5203	Viral carcinogenesis	0.987	0.0068	0.0126		108466.7
5416	Viral myocarditis	0.983	0.0073	0.0130		69145.74
4940	Type I diabetes mellitus	0.982	0.0078	0.0145		50709.06
5332	Graft-versus-host disease	0.981	0.0080	0.0141		46246.41
5320	Autoimmune thyroid disease	0.981	0.0083	0.0149		46159.16
5330	Allograft rejection	0.980	0.0081	0.0146		42385.9
5200	Pathways in cancer	0.972	0.0091	0.0103		134581
5164	Influenza A	0.964	0.0079	0.0086		100289.5
5205	Proteoglycans in cancer	0.964	0.0116	0.0088		111889.7
5152	Tuberculosis	0.960	0.0083	0.0088		100606.8
5202	Transcriptional misregulation in cancer	0.959	0.0107	0.0097		99265.29
5016	Huntington’s disease	0.958	0.0209	0.0162		88602.38
5145	Toxoplasmosis	0.958	0.0093	0.0089		80437.34
5161	Hepatitis B	0.957	0.0117	0.0101		91320.55
5162	Measles	0.956	0.0098	0.0105		88462.56
5206	MicroRNAs in cancer	0.956	0.0131	0.0093		92549.92
5160	Hepatitis C	0.952	0.0129	0.0111		83502.52
5010	Alzheimer’s disease	0.951	0.0192	0.0153		88451.59