Estimation of tumor heterogeneity using CGH array data

BMC Bioinformatics

Table 1 Subpopulation summary of the 29 pairs of primary and metastasis samples

	#	P ₁	P ₂	P ₃	AI ₁	AI ₂	AI ₃	Total	Pure
T-2	15	25.3 (8.8)	-	-	1.13 (0.76)	-	-	0.25 (0.13)	1.13 (0.76)
T-3	13	33.4 (9.4)	14.2 (5.1)	-	0.34 (0.13)	1.18 (0.26)	-	0.28 (0.10)	0.59 (0.20)
T-4	1	23 (-)	34 (-)	8 (-)	0.25 (-)	0.53 (-)	1.40 (-)	0.35 (-)	0.54 (-)
M-2	16	24.8 (8.3)	-	-	1.07 (1.00)	-	-	0.21 (0.11)	1.07 (1.00)
M-3	10	32.5 (8.7)	15.1 (6.1)	-	0.45 (0.23)	1.33 (0.41)	-	0.33 (0.12)	0.71 (0.30)
M-4	3	16.7 (3.1)	31 (6)	8.7 (2.1)	0.18 (0.04)	0.48 (0.11)	1.33 (0.17)	0.29 (0.05)	0.52 (0.09)

The table summarizes the analysis done on the 29 pairs of samples [see Additional file 2]. Shown are mean values with standard deviation in parenthesis. T-i: Primary tumor with i subpopulations, M-i: Metastasis with i subpopulations, #: Number of samples, p_k: Percentage of (abnormal) subpopulation k ≥ 1, AI_k: Aberration Index for subpopulation k, Total: Weighted sum of AI_k, Σ_kp_kAI_k, Pure: AI_•, normalized weighted sum of AI_k, cf. equation (2).

ISSN: 1471-2105