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Spectra were background corrected using a reflective gold slide and converted to absorbance using the Kramers Kronig equation as per standard FTIR analysis method (Roessler 1965).
The Mn↑ Mn↓ averaged spectra were background corrected using a power-law function (fitting energy region: 606 631 eV) and a non-parametric locally weighted scatterplot smoothing (LOWESS) algorithm [31].
Data were background corrected using a normexp procedure which fits a convolution model of normal and exponential distributions to the foreground intensities using the background intensities as a covariate [ 71].
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Fluorescence images were background corrected using an image frame collected without excitation.
The GCRMA data were background corrected using an affinity measure model based on probe sequences and MM intensities, followed by quantile normalization and median polish summarization [ 33].
All arrays were background corrected using local background correction and normalized using Lowess normalization [ 87].
Measurements were obtained every 10 s and background corrected using parallel measures from a cell-free location.
Prior to classification, we mean center the data and scale it to unit variance; however, we recommend that omic data also be preprocessed (for example, background corrected) using methodologies appropriate for a given omic-profiling technology.
Raw feature intensities were background corrected using the RMA background correction algorithm [ 21, 22].
The core level spectra were background corrected using Shirley algorithm and chemically distinct species were resolved using a nonlinear least squares fitting procedure.
Spot intensities were background corrected using the normexp method with an offset of 50 to avoid zero or negative intensity values [ 80].
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