Factor . | Common domain characteristic . | Constituent parameters . | Loadings . |
---|---|---|---|

A | Size properties | Mean domain size | 0.66 |

Standard deviation in domain size | 0.94 | ||

Variance in domain size | 0.93 | ||

Skewness in domain size | 0.90 | ||

Kurtosis in domain size | 0.90 | ||

Coefficient of variation in domain size | 0.95 | ||

Index of dispersion in domain size | 0.97 | ||

B | Packing | Mean domain nearest neighbor distance (observed), Ro | 0.94 |

Median domain nearest neighbor distance | 0.91 | ||

Domain density | −0.91 | ||

Mean domain nearest neighbor distance (expected), Re | 0.90 | ||

Variance in domain nearest neighbor distance (expected), Ve | 0.88 | ||

C | Spatial randomness | Variance in domain nearest neighbor distance (observed), Vo | 0.87 |

Standard deviation in domain nearest neighbor distance | 0.85 | ||

Coefficient of variation in domain nearest neighbor distance | 0.95 | ||

Index of dispersion in domain nearest neighbor distance | 0.92 | ||

Vo/Ve | 0.96 |

Factor . | Common domain characteristic . | Constituent parameters . | Loadings . |
---|---|---|---|

A | Size properties | Mean domain size | 0.66 |

Standard deviation in domain size | 0.94 | ||

Variance in domain size | 0.93 | ||

Skewness in domain size | 0.90 | ||

Kurtosis in domain size | 0.90 | ||

Coefficient of variation in domain size | 0.95 | ||

Index of dispersion in domain size | 0.97 | ||

B | Packing | Mean domain nearest neighbor distance (observed), Ro | 0.94 |

Median domain nearest neighbor distance | 0.91 | ||

Domain density | −0.91 | ||

Mean domain nearest neighbor distance (expected), Re | 0.90 | ||

Variance in domain nearest neighbor distance (expected), Ve | 0.88 | ||

C | Spatial randomness | Variance in domain nearest neighbor distance (observed), Vo | 0.87 |

Standard deviation in domain nearest neighbor distance | 0.85 | ||

Coefficient of variation in domain nearest neighbor distance | 0.95 | ||

Index of dispersion in domain nearest neighbor distance | 0.92 | ||

Vo/Ve | 0.96 |

The covariance structure between the 25 subnuclear organization parameters measured on wild-type and mutant images (*n*=330) indicates that there is a large degree of correlation between parameters (data not shown). Factor analysis was carried out to represent the observed subnuclear organization parameters in terms of a smaller number of uncorrelated variables. The strategy reduces the 25 parameters to a subset of three factors that retain the information (variability) contained within the entire data set. In multivariate analysis, `factors' reflect groups of correlated parameters that are related to a common property of subnuclear organization. Each of the factors has a biological interpretation based upon the grouped subnuclear organization parameters. We restricted our analysis to the first three factors (referred to as A, B and C), as they reflect meaningful aspects of the domain spatial. Factor A, which represents `domain size properties', accounts for approximately 30% of the information describing the subnuclear organization of the wild-type Runx and mutant images (i.e. 30% of the variation). The domain size properties are highly correlated with parameters that describe the variability in domain size and to a lesser degree the mean domain size. Factor B, which reflects `domain packing', describes 23% of the variation and is directly correlated with parameters that characterize the mean nearest neighbor distances and inversely related to domain density. `Packing' indicates that this factor relates the number of domains to the distances between domains. Factor C, which reflects `domain spatial randomness', describes 10% of the variation and is directly correlated with parameters that described the variability in domain nearest neighbor distance.

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