Sentence examples for datasets from multiple sources from inspiring English sources

Exact(4)

These studies suggest that similar results should be expected regardless of microarray platform if appropriate experimental and analysis protocols are applied, meaning that mechanistic research can incorporate datasets from multiple sources without significant concern about platform-specific affects.

We used high-quality, breeding-season datasets from multiple sources to develop intermediate-scale (800-m pixel resolution) spatial models to predict current and future probabilities of occurrence for each of 60 focal species selected to represent avian communities of five major habitat types: oak woodland, coniferous forest, chaparral/scrub, grassland, and riparian [27].

DASMiner is composed by a browser application and an API that work together to facilitate gathering of data from different DAS sources, which can be used for creating enriched datasets from multiple sources.

Since all datasets are normalized to allow integrating datasets from multiple sources, a large number of samples from different tissues can be compiled into a single data set where each row represents one gene and each column represents one tissue.

Similar(56)

As aforementioned, 100Credit has a large dataset from multiple sources.

Because of the heterogeneous nature of microarray datasets, it is important to address the issue of cross-platform variation when combining dataset from multiple sources.

Our next goal is to construct a larger network model for cancer cell phenotypic responses which can simulate observations for some other datasets taken from multiple sources.

Therefore, we utilized a breast cancer gene expression dataset representing 1,608 samples combined from multiple sources (U133A set; Additional file 1) [ 17, 30].

The HOMER PWMs [ 31] were derived from ChIP-seq datasets, while the JASPAR PWMs were from multiple sources (including ChIP-seq, literature curation and PBM data).

We used the full S. cerevisiae dataset in DIP, which compiles information from multiple sources, although about 80% of the included protein-protein interactions derive from high-throughput experiments, either using the yeast two hybrid method or affinity purification of protein complexes.

The ability to connect data from multiple sources into one dataset, i.e., identity matching, also makes it possible to provide two value-added services: information verification and collection support service.

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