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The STFT frame size was set to 512, with 3/4 overlapping, and the FFT block size was set to 1024.
The dataset in [28] was also used in this experiment, the STFT frame size was set to 1024, with 7/8 overlapping, and the FFT block size was set to 2048 for all algorithms.
For the SuperGenome generation, the minimal block size was set to 10 kb.
The blockwiseModules function in WGCNA R package was used to automatically select modules in PABs and SABs, and the maximum block size was set to 10,000 due to the limitation of computer memory.
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Therefore, the parameter block size is set as 90 in the experiment.
By default, Hadoop block size is set to 128 MB, and Hadoop heap size is set to 2 GB.
The block size is set to 16 × 16 in all the layers and 7 × 7 in the bi-directional ME.
In this case, the block size is set to 1 × 128, and the filter width is 7, so only 6 threads are wasted per processing block.
At the start of the heuristic the block size is set up to a very large number, 25% of the problem's attributes.
For example, if the block size is set to 4, then there are six ways, or permutations, in which two patients can be allocated to each treatment within a given block: AABB, ABAB, ABBA, BAAB, BABA, and BBAA.
Block group size was set to 1 for all block-based normalizations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com