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Our purpose is to remove correlation of clutter.
According to the received signal model in Eq. (8), we here adopt whitening method to remove correlation of clutter.
A filter was applied to remove correlation values below a threshold (correlation filter).
A filter was applied to remove correlation values with a number of comparisons below a threshold (correspondence filter).
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Ideally, it would be desirable to remove correlations of the full list of genes at once rather than de-correlating individual gene sets, because correlations exist not only within pre-defined gene sets but among genes across different gene sets.
In homogeneous image regions that move in the same manner this assumption does not necessarily hold, however, even these pixels can be subject to local sources of noise, which remove correlations between them.
An alternative approach is to transform the stimulus to remove correlations before computing the reverse correlation estimate [3], [4].
GRAMMAR (Aulchenko et al., 2007) was used to remove correlations between related individuals.
Hence, the local inhibitory circuitry in CA1 may actively remove correlations present in its input in order to generate an independent population code (Ecker et al., 2010).
All resulting t-maps were then cluster-filtered to remove correlations involving less than three contiguous voxels and then superimposed on high-resolution anatomical images using a P < 0.001 cut-off threshold (FDR, corrected).
In terms of methodology, Step 1, the identification of v-eQTL, does not appear to leverage the twin design ("GRAMMAR was used to remove correlations between individuals") and this should be explained more clearly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com