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These samples were omitted from mSAA analyses.
Probes with an absent or marginal call in more than 90% of samples were omitted as were array tags linked to multiple genes, and only the highest SAM ranked probe for a gene was included.
Gene-pseudogene pairs with fewer than 20 such samples were omitted from the analysis.
Probe sets with absence calls in all of the samples were omitted from further analysis.
For the confidence interval constructions, some samples were omitted to force the design to balance.
For five samples, data for all covariates was not available, and these samples were omitted from the multivariate analysis.
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Unfortunately, 28 samples are omitted data so they must be removed.
If the mixing time is known, then as many samples are omitted in any RW based algorithm to ensure that the samples are in stationary regime.
However, as can be seen by Figs. 6, 7 and 8, an SNR higher than 30dB is needed anyway, for full input recovery in the reference case, where no samples are omitted (R=0).
Then, the first LGI samples are omitted and followed by a cyclic shift operation, which can be written as s [ k ] = s [ mod ( k + L GI − 1, MK ) ], for k = 0 … MK − 1. Next, an L-point FFT operation is performed so that a frequency domain equalization (FDE) can be straightforwardly envisaged.
Approximately a third of the samples are omitted from each tree, creating out-of-bag (OOB) data that is subsequently used to measure classifier performance [ 33].
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