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We excluded disease genes associated with nutritional and metabolic diseases from both panels owing to the large number of associated genes.
To further know whether molecular features such as transcript size, GC content or presence of hairpins could partly explain such deviations, we explored these features on the amplification affected sequences from both Panels.
We restricted the panels to a shared set of 10,000 SNPs spanning 1.9 Mb of sequence, and we imputed from both panels into a simulated GWAS of 1000 European individuals.
The protection of the collected data from both panels was laid down in privacy regulations, safeguarding ethical consent, and registered with the Dutch Data Protection Authority (nr. 1262949 and nr. 1283171).
The protection of the collected data from both panels was laid down in privacy regulations, safeguarding ethical consent, and registered by the Dutch Data Protection Authority (nr. 1262949 and nr. 1283171).
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The raw data from both panel phases will be provided to interested readers upon request.
The run statistics from both panel types per individual are presented in Supplementary Table S3 online.
It can be inferred from Figure 2 (both panels) that increase (decrease) in the desired p-value (and hence decrease (increase) in the MI threshold) will result in inclusion (exclusion) of some connections.
By imputing from both reference panels, we can see how reference panel size and diversity affect the computational loads of different imputation methods.
In the study twenty-five referral and discharge letters were evaluated by both panels; 15 from cardiological, five from pulmonary and five from orthopaedic departments.
The measured data from Fig. 4 (both panels: dotted) is also shown.
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