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Advancement on comparative genomics, high-throughput sequencing, gene expression analysis, and gene function validation is expected to provide the necessary insights into the mechanisms of stress tolerance and critical genes that may enhance the pace of genetic improvement in heat tolerance of crops.
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Although it is possible that lack of validation could occur by chance, this is highly unlikely for most markers in TCGA where the power of the validation analysis is expected to be >0.9.
The proposed model performs well in the experimental validation and is expected to be applied in a future control design and fault diagnosis application.
First, in simulations every offspring had two parents in the training data set so that the additive-genetic relationship information between training and validation data sets is expected to be higher at first sight, but more half sib relationships are present in real cattle populations.
However, the adopted V-fold cross validation-based approach is expected to be reasonably objective.
Based on these validation results, its performance is expected to be of high practical value for virtual screening purposes.
Using cross-model validation in that way is expected to provide a systematic strategy to answer the third of the three questions posed in the Introduction.
In contrast, validation and demonstration of equivalence is expected to be more arduous for alternative rapid enumeration methods that are technically distinct from the current standard method and that deliver results using a different metric (for example, relative light units or number of cells with enzymatic activity).
When taken from development sample A to validation sample B, predictive power is expected to decline due to overfit of the regression weights and in fact the odds ratio declines (Table 3).
For the above reasons, it is expected that process validation is being performed when process design, and all the details of the process are adequately known.
It is expected that subsequent validation studies in primary human tissues using such an approach will lead to more rapid translation of such studies to the identification of novel tumor biomarkers and therapeutic targets.
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