Table 4.
Correlations across five datasets taking segmentation into account.
Hyman | 0% | 25% | 50% | 75% | 100% | SD | MAD |
Both Unsegmented | −0.859 | −0.057 | 0.159 | 0.373 | 0.956 | 0.303 | 0.246 |
Expression Segmented | −0.805 | −0.025 | 0.211 | 0.432 | 0.974 | 0.317 | 0.259 |
Copynumber Segmented | −0.902 | −0.022 | 0.219 | 0.453 | 0.969 | 0.324 | 0.267 |
Both Segmented | −0.734 | 0.259 | 0.471 | 0.652 | 0.976 | 0.281 | 0.224 |
Heidenblad | 0% | 25% | 50% | 75% | 100% | SD | MAD |
Both Unsegmented | −0.777 | −0.051 | 0.147 | 0.34 | 0.949 | 0.276 | 0.224 |
Expression Segmented | −0.746 | 0.069 | 0.268 | 0.463 | 0.948 | 0.285 | 0.229 |
Copynumber Segmented | −0.804 | −0.008 | 0.196 | 0.395 | 0.952 | 0.288 | 0.234 |
Both Segmented | −0.691 | 0.247 | 0.464 | 0.645 | 0.975 | 0.288 | 0.231 |
Pollack | 0% | 25% | 50% | 75% | 100% | SD | MAD |
Both Unsegmented | −0.547 | −0.028 | 0.106 | 0.248 | 0.898 | 0.208 | 0.165 |
Expression Segmented | −0.607 | 0.082 | 0.241 | 0.399 | 0.947 | 0.226 | 0.183 |
Copynumber Segmented | −0.54 | 0.005 | 0.166 | 0.331 | 0.914 | 0.231 | 0.186 |
Both Segmented | −0.396 | 0.327 | 0.479 | 0.62 | 0.971 | 0.214 | 0.172 |
Zhao | 0% | 25% | 50% | 75% | 100% | SD | MAD |
Both Unsegmented | −0.946 | −0.127 | 0.196 | 0.488 | 0.989 | 0.406 | 0.338 |
Expression Segmented | −0.939 | 0.085 | 0.42 | 0.675 | 0.99 | 0.401 | 0.331 |
Copynumber Segmented | −0.968 | −0.115 | 0.227 | 0.525 | 0.99 | 0.418 | 0.348 |
Both Segmented | −0.923 | 0.309 | 0.623 | 0.819 | 0.997 | 0.383 | 0.304 |
Kim | 0% | 25% | 50% | 75% | 100% | SD | MAD |
Both Unsegmented | −0.803 | 0.051 | 0.241 | 0.42 | 0.972 | 0.263 | 0.214 |
Expression Segmented | −0.726 | 0.124 | 0.328 | 0.522 | 0.932 | 0.279 | 0.228 |
Copynumber Segmented | −0.722 | 0.077 | 0.287 | 0.479 | 0.957 | 0.278 | 0.228 |
Both Segmented | −0.644 | 0.275 | 0.482 | 0.675 | 0.924 | 0.282 | 0.228 |
Notes: SD represents standard deviation; MAD represents mean absolute deviation. Both Unsegmented refers to correlation coefficients between gene expression and copy number based on the raw expression number value, after taking the preprocessing steps described in the paper. Expression Segmented refers to running the algorithm of Olshen et al. (2004) on the gene expression data on individual samples and to then calculate the correlation coefficients between gene expression and copy number expression. Copynumber Segmented refers to running the algorithm of Olshen et al. (2004) on the copy number expression data on individual samples and to then calculate the correlation coefficients between gene expression and copy number expression. Both Segmented refers to running the algorithm of Olshen et al. (2004) on the copy number and gene expression data on individual samples and to then calculate the correlation coefficients between gene expression and copy number expression.