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Table 1 Nearest neighbor classification accuracies for the 502 images of 10 sub-cellular localizations.

From: Visualizing and clustering high throughput sub-cellular localization imaging

 

TAS+Haralick

TAS

Haralick

Statistics Dimension

Unmapped

3D

2D

Unmapped

3D

2D

Unmapped

3D

2D

1-neighbor classify

93.2%

79.1%

64.5%

91.8%

77.5%

59.6%

87.1%

68.3%

54.0%

3-neighbor classify

94.0%

83.2%

68.9%

90.6%

80.7%

64.3%

85.5%

70.9%

60.6%

  1. Three types of image statistics vectors are tested: TAS with Haralick; TAS alone; Haralick alone. For a given image, the class of the image is compared to that of its nearest neighbors, nearest being defined using the Euclidean distance between the statistics vectors (unmapped), the statistics Sammon mapped into 3 dimensions (3D) and 2 dimensions (2D). Tests in which 1407 individual cells were automatically selected and cropped from the 502 images gave similar (in fact slightly higher) classification accuracies as those in the table (data not shown).
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BMC Bioinformatics

ISSN: 1471-2105

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