Sentence examples for data integration analyses from inspiring English sources

SC and SP contributed equally to this work: they took part in the microarray experiments, performed the statistical and data integration analyses and drafted the manuscript.

Table  2 lists the various data integration methods and analyses incorporated into 3Omics.

Well-structured data and consistent representation of metadata are needed for accurate data integration and cross-study analyses.

An important aspect of data integration in comparative genome analyses is the combination of sequence and, sequence and function identifiers.

These involve considerations about the habitat, sampling strategy, sequencing technology, assembly, gene prediction, taxonomic classification and binning, biodiversity estimation, function predictions and analyses, data integration and subsequent interpretation and data deposition.

Applications should have a substantial commitment of personnel for statistical genetics and bioinformatics, with detailed plans for data collection, storage, communication, integration, analyses, and dissemination; 14) Proposals are required to include detailed plans and timelines for replicating initial GEDI findings within the 5-year award period.

Although the expression data profiled with RNA-Seq correlates well with our methylation data, the conclusions drawn from these integration analyses must be interpreted cautiously since the two data sets were derived from different individuals.

Consequently, phenotypes are refractory to attempts at data integration that would allow computational analyses across studies and study systems [1].

Cancer is being recognized as a systems biology disease [ 1, 2], as illustrated by multiple studies that include molecular data integration and network and pathway analyses in a genome-wide fashion.

The potential resulting benefits of such bioinformatics clouds include easing large-scale data integration, enabling repeatable and reproducible analyses, maximizing the scope for sharing, and harnessing collective intelligence for knowledge discovery.

Nevertheless, the commercial GeneSpring platform and the entire R/BioConductor framework [ 131, 132] are mostly used in such analyses.> Concerning the future of multivariate data visualization, new HCI techniques and VR devices could allow parallel visualizations, analyses and data integration simultaneously (Fig.  5g).