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Table 1 Outlier effects

From: Copynumber: Efficient algorithms for single- and multi-track copy number segmentation

Type

Distribution

Sensitivity(%)

Specificity(%)

False aberrations (%)

 

Normal

79.5

96.5

0.15

A

Normal w/5% contam.

78.8

93.7

1.04

 

Normal w/5% contam., Winsor.

78.1

96.0

0.13

 

Normal

78.9

93.6

0.20

B

Normal w/5% contam.

77.8

90.6

1.06

 

Normal w/5% contam., Winsor.

77.5

93.3

0.15

  1. Shown is the effect of Winsorization on simulated data with outliers and artificial (low-amplitude) aberrations. Two types of aberrations are considered: (A) aberrations of height 1.5 and length 10 probes and (B) aberrations of height 1.0 and length 30. The contamination consists of normals with SD=3 and the MAD estimate of SD equals 1.0. Sensitivity is the percentage of amplified probes that are detected as amplified, while specificity is the percentage of non-amplified probes classified as such. The false aberration column gives the percentage of aberrations not covering the central part of the real amplifications.
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BMC Genomics

ISSN: 1471-2164

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