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The growing data pool supports treatment of the correct subset of patients (Table 2).
In 9 of the 13 scenarios considered, SPCA selected the correct subset of pollutants 75% or more of the time.
Simulation studies demonstrated that SPCA, unlike PCA, was successful in identifying the correct subset of multiple pollutants associated with mortality.
For these patients, therapy could begin immediately with agents that do not harm either condition but may provide benefit when used in the correct subset.
Table 1 shows clearly that in most situations SPCA performed appropriately in terms of selecting the correct subset of pollutants associated with mortality.
To date no predictive biomarkers for benefit from bevacizumab have been identified; several ongoing trials incorporate molecular studies with the aim of targeting the correct subset of patients (such as triple-negative patients) for bevacizumab therapy.
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Notably, the GEMOT algorithm is tailored for identification of causative relationships, unlike the compared methods, explaining why GEMOT succeeded in discriminating the correct subsets of co-regulated traits.
It is important to target Ag to the correct DCs subset in vivo if the desired response is to be obtained.
We evaluated the partitioning schemes chosen by the iterative k-means with TIGER rates for the simulated alignments based on the criteria that, 1) alignment sites generated under the same model would be assigned to the same subsets, and 2) the correct number of subsets would be chosen.
These conditions were chosen to explicitly test whether the iterative k-means algorithm would 1) assign alignment sites to subsets containing other sites generated from the same model, and 2) find the correct number of subsets.
Fig. 15 Number of iterations needed to find the correct clustering for subsets of BIRCH2 when varying the size of data (left), and number of clusters (right).
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CEO of Professional Science Editing for Scientists @ prosciediting.com