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Remarkably the beta values from the left IPL were also correlated with latency and the number of incongruence detections.
For ease of interpretation, beta values from the models are presented per standard deviation change in the predictor.
Auditory and visual beta values from the 2 passive experiments were analyzed using a two-way ANOVA (Modality [Auditory, Visual] × Learning [Pre, Post]).
We compared methylation (beta values) from the HM450K bead array with those derived from whole-genome bisulfite sequencing, matched for genomic location and cell type.
Weights for categories within each variable were based on beta values from the general linear model, with weights transformed to a 0 to 100 point scale distributed across variables as the corresponding proportion.
Therefore, when comparing beta values from the two technologies there will likely be a background error rate which is due in a large part to the difference in measurement methods.
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Volume of interest analysis of beta values from these PCC coordinates revealed no significant correlation with detection latency or number of incongruence detections.
To be more specific, the deteriorative degree of dielectric relaxation is shown to be consistent with the beta value from the CD modeling by quantization, which is due to the beta-dominating exponent part in CD modeling (Equation 2).
Scores for each predictor were obtained based on the beta value from the final prediction model; total scores were calculated respectively.
Scores were weighted by the beta value from the original GWAS (SOF or MrOS) with the strongest association P-value for the effect allele (MrOS for all three SNPs included in the final score).
The methylation beta value from the Illumina methylation arrays was compared with the peak heights of the sequencing electropherograms from bisulfite sequencing of the genes where the CpG site analyzed by the methylation array was inside of the PCR fragment analyzed by BSP (TGFBI, PRKCDBP, DUSP23 and COL1A2).
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