Sentence examples for interface datasets from inspiring English sources

In the future, based on PLSMC, we will study the identification of protein complexes from dynamic protein-protein interaction networks and interface datasets.

We conduct experiments on two real-world datasets, stock market dataset and BCI (Brain Computer Interface) dataset.

Numerical experiments on both a brain computer interface dataset and a scene classification problem prove empirically the appeal of our method.

Specifically, for a query interface one can accurately and efficiently find a similar interface from a large interface dataset.

We next assess the performance of the feature-based similarity measure in the search and retrieval of an interface from a large interface dataset.

However, it is likely to be inefficient for the interface retrieval problem, which asks: Given a query protein interface, how can one accurately and efficiently find a similar protein interface in a large interface dataset?

The T. versicolor interface transcriptome datasets (Table  1) contained 17.9 million read pairs on Z. mays and 19.1 million read pairs on M. truncatula.

Availability: The intuitive interface for dataset exploration, analysis and prediction is available at http://s.tartaglialab.com/clever_suite.tartaglialab.com/clever_suite

Host reads from each interface transcriptome dataset were mapped to their respective host genomes, leading to the removal of 1.5 million M. truncatula reads and 0.4 million Z. mays reads from each respective transcriptome data set.

In these new interfaces, once dataset(s) are chosen, all the attributes and filters will be presented to the user as if from a single data source, even if they originate from distributed BioMarts.

In general, similar to the lack of consensus in interface definitions and datasets, there is no standard criteria for performance assessment [ 47].