Ai Feedback
Exact(4)
Operator intervention was required at this stage for removal of spots arising from dust particles and other non-protein material.
Microarray data produced by the Agilent microarray scanner were preprocessed by removal of spots considered 'well above background' by the Agilent pre-processing software (Agilent Feature Extraction Software).
Data processing included the removal of spots that were flagged by the scanning software [ 28] or did not surpass a minimum threshold of 200, and log2 transformation of the background-subtracted foreground intensities.
Data were filtered out when the following criteria were satisfied: (I) removal of low intensity spots when F-B < M + 2 MAD, where M is the median of the negative control spots (blank or buffer spots); MAD is the median absolute deviation, (II) removal of saturated spots with very high intensity, and (III) removal of spots flagged by GenePix.
Similar(56)
Processing of the data from 108 spotted cDNA microarrays included background subtraction and log2-transformation of fluorescence intensities, and removal of flagged spots or spots that did not surpass a minimum intensity threshold of 200.
Microarray data from sets of hybridizations were exported from BASE after removal of flagged spots, Loess normalization and averaging of data from duplicate spots.
Microarray data from sets of hybridizations were exported from BASE after removal of flagged spots, Loess normalization, and averaging of data from duplicate spots on the microarray.
The work has seriously affected Broadway to Amsterdam Avenue between 72nd and 74th Streets, with the temporary closing of the sidewalk on the south side of 73rd Street between Broadway and Amsterdam, and the temporary removal of parking spots.
Following the removal of unreliable spots, the data was normalized using a Locally Weighted Scatterplot Smoothing (LOWESS) algorithm and the resulting ratios of change in gene-expression captured on a logarithm to two scale [28].
Preprocessing consisted of automatic removal of weak spots and removal of systematic errors by normalisation.
The following sequence was used for regular and ADGE microarray: local background correction, removal of flagged spots, logarithm of base 2, ratio calculation and linear regression normalization.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com