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Raw data was filtered to retain only marketed drugs with at least one known ADR, target and indication.
This data was filtered using the Fast Fourier Transform FFTT) low pass filter and subjected to time domain and statistical analysis.
Data was filtered only to exclude 'worst-case' or 'best-case' scenarios, prospective studies, and studies that did not include results for complete PV systems (see also Supplementary Methods).
All data was filtered using a Butterworth filter (cutoff 0.55 cm−1, power factor 10).
2018 data was filtered for drivers in the Millennial age range of 22 to 37 to find the most common vehicles driven by Millennials.
Raw data was filtered to select 2066 markers with a minimum of genotype call of 75%% individuals and to eliminate monomorphic markers showing a MAF lower than 5%%.
The data was filtered to include only those aftershocks within 150 km of the epicenter.
Data was filtered using an 8-pole Bessel filter at 1 kHz.
The data was filtered for flags, then selected based on expression levels greater than 2-fold.
The data was filtered for signal vs. background using several parameters.
The raw data was filtered using a 60-Hz low-pass filter and down-sampled by a factor of 10.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com