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A case study of primary breast cancer recurrence demonstrates that models using multiple metagenes combined with traditional clinical risk factors improve prediction accuracy at the individual patient level, delivering predictions more accurate than those made by using a single genomic predictor or clinical data alone.
We used the average of 10 non-targets as a control value in order to minimize the bias and experimental error that would arise from using a single genomic region as the control.
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Genomic breeding values were calculated using BayesB, with phenotypes and de-regressed breeding values, and using a single-step genomic BLUP approach that combines information from genotyped and un-genotyped animals.
Sequencing of targeted gene panels may be useful in uncovering multiple genomic aberrations using a single test.
This permitted a robustness of design and economy that allowed standardized bioinformatic assessment and cross-referencing of the data sets, using a single software bioinformatics package (Partek Genomic Suite) to import, analyze and cross-reference raw data from the various microarray platforms.
It was sequenced and assembled using a single 350 bp insert size genomic DNA library that generated 123-fold coverage of Illumina reads with a total genome size of 35.5 Mb (Table 1).
Since the sequence for the tdTomato contains tandem repeats, a genomic deletion of approximately 700 bp can be generated using a single sgRNA for targeting (Fig. 2A).
Using a single booster.
This study compared three models (multi-breed, within-breed and multiple-trait) using a single-step approach for genomic evaluation.
Read 1 is used to predict a single genomic position defining the transcript counting 3′ end (TC 3′ end).
Recent methodological developments in animal breeding require inversion of A22, for example for genotyped animals in the context of genomic prediction using a single-step procedure [ 3- 5].
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