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A comparison of the measurements is made with analytical predictions, which indicates that the experimentally measured deflections agree well with predictions employing both the inscribing and circumscribing yield loci.
Furthermore, about one tenth of the multi-exon genes (2, 003/10.8%) are supported only by de novo predictions, which indicates that de novo predictions are indispensable to the completeness of the final gene sets.
Models G(A + X) and Gc(A + X) resulted in the same reliability of genomic predictions, which indicates that a G matrix that took sex-linked inheritance for X-specific markers into account did not improve genomic prediction more than a G matrix that dealt with X-specific markers as autosomal markers, possibly because animals in the present data were all bulls.
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Both first and second derivative transformations needed a lower number of components (factors) for the predictions, which indicated that the transformation reduced some information that was of little predictive value (Table 3).
Many of these predictions, which indicate increases between four to ten times the pre-disturbance estimates, are based on large-scale catchment modelling that make some critical assumptions about pre-disturbance erosion rates and/or sediment delivery ratios.
The experimental results are plotted in principal strain space and show reasonable agreement with the corresponding theoretical FLD predictions, which indicate a 2- to 3-fold increase in the forming limits with respect to the quasistatic case.
To confirm the bioinformatic predictions which indicate E2F1 as a possible target of hsa-miR-9* (Figure 3), we transfected a synthetic hsa-mir-9* (Figure 4A) or its inhibitor (Figure 4B) in a human B lymphoblastoid cell line, and then measured E2F1 expression both at the mRNA and protein levels by qRT-PCR and western blotting, respectively.
Finally, it is interesting to compare the individual keywords associated with disorder prediction and with those associated with the absence of disorder prediction (which indicate structure-associated functions).
A fourth measure is the prediction interval, which indicates the distribution of true effect sizes and is based on T2 [ 2].
Unexpectedly, while SC_All outperforms SC_GenProt, it is only by a small amount (~5% difference at the top 15 and 20% of predictions, Figure 5A), which indicates that we are losing little by ignoring features derived from experimental data.
The analysis reveals that the type of mathematical model has only a slight effect on the average prediction accuracy (APA, which indicates on average how well a model predicts the final exam scores of all students in the dynamics course) and on the percentage of accurate predictions (PAP, which is calculated as the number of accurate predictions divided by the total number of predictions).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com