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Pixels falling across two polygons, thus mixing two different classes, were discarded to limit using pixels with mixed spectral signature.
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Polymorphic sites carrying rare alleles (frequencies <5% within the total sample) and unbalanced genotypic classes (frequencies <5% within the total sample) were discarded to avoid biased associations.
Organelle sequences were discarded to avoid ambiguity.
They were discarded to avoid duplication.
Five smaller classes gave suboptimal reconstructions, and the particles from these classes were discarded.
After 30 min, the supernatant was discarded to get WPIs. .
Following such an ordering, a fraction α of the weakest classes is discarded, generating a set of (1− α) C classes (the ones representing the strongest signals).
Voxels assigned to the background class were discarded, and the remaining volume, i.e. tumour core and region of partial volume averaging, was kept as the final FLAB VOI in accordance with a previous description of this algorithm [9].
The samples within categories were selected randomly, but the samples were screened by listening, and the samples having a significant amount of content from other categories than their class were discarded.
20% of the worst particles in each class were discarded in each round of iteration.
At every refinement step, the 30% worst members of each class were discarded.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com