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Weight was measured to the nearest 0.1 kg (with shoes, socks and bulky clothing removed) using a set of electronic scales (a single unit; Seca Delta, Model 707; Seca, Hamburg, Germany) calibrated using a known weight at the beginning of each clinic session.
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To prevent any overestimation of predictive performance, duplicated sequences are removed using a window size determined by the collected data sets.
Following hardening of the cement and completion of setting time, the extra cement was removed using a rongeur or an osteotome.
False correspondences will be removed using an iterative technique called Random Sample Consensus (RANSAC), a widely used technique based on a model from a set of points[21 24].
These clusters occur irrespective of ionization mode, column type, sweep gas and sample type, but can be easily removed post-acquisition using a set of R functions presented here.
Sequence files were processed to remove barcodes, trim adapters, and count read abundances using a set of custom perl, python, and MySQL scripts.
The segmentation was improved using a set of morphological operations to remove adipose tissue, spongy bone and cortical bone.
To remove low-frequency drifts, the data were high-pass filtered using a set of discrete cosine basis functions with a cutoff period of 156 s.
To remove low-frequency drifts, the data were high-pass-filtered using a set of discrete cosine basis functions with a cutoff period of 128 s.
Background or excessively dark haematoxylin staining was removed using the "despeckle" setting and, when required, by superimposing a mask of the haematoxylin channel onto the image.
Use a set of tongs to remove them and let them air dry.
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