Sentence examples for multiple public datasets from inspiring English sources

The results across multiple public datasets show that the proposed framework outperforms state-of-the-art approaches, e.g., with at least 11% improvement in precision and recall on a 15-h public dataset with six ego-centric activities.

Experiments are conducted on multiple public datasets, which demonstrate the superiority of our approach in terms of both effectiveness and efficiency when compared to the state-of-the-art.

In order to identify consistently differentially expressed genes based on robust statistics, it is advisable to systematically combine multiple public datasets.

As a matter of fact, AWS contains multiple public datasets for a variety of scientific fields, such as biology, astronomy, chemistry, climate, economics, etc. (http://aws.amazon.com/publicdatasets).amazon.com/publicdatasets

The RNA splicing factor SRRM2 which we found as differentially expressed in multiple public PD datasets had alternative splice forms in two brain regions, substantia nigra and amygdala, from PD patients (Figure 2).

Its heavy burden on society has fueled substantial research and led to the dissemination of multiple public microarray datasets generated by bulk tissue-sampling protocols.

The goal of this study was to identify potential transcriptomic markers in developing ankylosing spondylitis by a meta-analysis of multiple public microarray datasets.

Hence in this study, we performed a meta-analysis of multiple public microarray datasets to identify potential transcriptomic markers in developing ankylosing spondylitis.

After the gene discovery process, validation in multiple independent public datasets was carried out.

While it is not the first application which combines multiple public breast cancer datasets and performs a cross-dataset survival analysis [ 37- 39], it is the first application which allows users to combine multiple prognostic markers across multiple microarray platforms without requiring complex adjustments for batch effects across different experiments/platforms.

They sifted through medical association registration lists, scoured phone directories, cross referenced multiple public medical professional datasets, and even conducted extensive internet searches.