As shown in Figure 1, in terms of prediction, the predictive performance of elastic net was superior to the Lasso and boosting in the analysis of this dataset, whereas the predictive performance of boosting was slightly better than the Lasso method.
Since the reviewer considered that the change in Hand2 expression was small, we have also chosen to boost the result by analysis of another AP marker – Pax9 which is expressed in the anterior tissue.
However, since the above analysis included only one bactericidal condition (M9TMPAdAA), we chose to boost the power of our association analysis by adding another bactericidal condition: TMP treatment in LB.
A larger sample of 581 burn areas, where flux measurements were not always available, was used to boost the statistics for an exploratory analysis of the relationships among the observational variables.
He's now hiring a chief competition economist to boost the quality of his antitrust analysis and is installing a second review board of other experts at the commission to go over his decisions; he is also allowing businesses to see and respond earlier to allegations levied by rival companies trying to block mergers.
When implemented in conjunction with a 3D morphological database, this approach has the potential to boost the application of 3D shape analysis, since even non-experts will gain the ability to build "on the fly" descriptive/predictive models from arbitrary sets of 3D scans.
In this work, we have tried to utilize GPU computing and multi-core CPU computing to boost the speed of metagenomic data analysis, and proposed a novel pipeline that enabled the parallel processing of large metagenomic datasets.
We also discuss advances and challenges in the use of transethnic GWASs by highlighting recently published software that apply new algorithms to boost the power of transethnic meta-analysis by leveraging LD information and the underlying differences in genetic architecture across disparate ancestral human genomes.
In order to boost the power of RNA-Seq splicing analysis and obtain a robust set of splicing differences between the placental and non-placental tissues, we pooled the RNA-Seq data of all HBM2.0 tissues.
We show that the feature learned with the deep learning techniques can be helpful to boost the performances of these computerized applications for the analysis of medical images.
Spreading out TCA method to data analysis is expected to boost the outcomes of high throughput gene expression studies, especially to reveal otherwise imperceptible gene expression changes and for discovery of molecular markers of diseases.
