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Biostatistical algorithms for omics data in oncology - Application to DNA copy number microarray experiments

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Academic year: 2021

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Figure

Figure 10 for bladder cancer data (169/198 arrays). False positives are arrays that experts identified as having no local spatial bias, but which were identified by the  algo-rithm as having local spatial bias
Table 1. The results for the detection of breakpoints and outliers on
Table 4. The results for the detection of breakpoints and outliers on
Fig. 1. Genomic profile of bladder tumor 824 (T1G2) according to our methodology: the breakpoint detection step makes it possible to calculate the piecewise constant function, in black, and to detect outliers; during the region assignment step, a two-step
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