Sentence examples for dataset enrichment from inspiring English sources

The predicted hubs have then been evaluated experimentally and 55% of them were confirmed as high interactors what corresponds to >5 fold dataset enrichment for potential hub-proteins provided by the developed QSAR model.

Subtraction of the same average normal signature in the validation samples also improved subtype classification in the additional validation dataset, however, for this dataset enrichment of cancer signatures for some of the normal samples was also observed.

The resulting map is mined for relationships between training dataset enrichments in specific units and can be interpreted further by laying additional data on the map not used during the training.

When analyzing the spleen and liver datasets, enrichment of specific gene ontology terms for genes with clusters of small RNAs overlapping their 3' UTRs was determined using the Functional Annotation tool of the DAVID Bioinformatics Resources [ 48, 49].

The Agilent Identification numbers of selected genes were then uploaded and analysed using the MetaCore software program Enrichment Analysis (EA) for Datasets: Enrichment analysis consists of mapping gene IDs of the dataset(s) of interest onto gene IDs in entities (terms) of built-in functional ontologies represented in MetaCore™/MetaDrug™ by pathway maps and networks.

To confirm this observation, we used the Hyper-Geometric distribution to evaluate the enrichment levels of miRNA targets in the three mRNA pools and found a unique and significant enrichment in the low expression pool across all three datasets (Enrichment P < 0.05) [see Additional file 1].

Lists of enriched tfbs in regions surrounding the significantly up or downregulated gene lists for each dataset are available in Additional file 4. Across all of these datasets, enrichment for EBOX and MEF2 binding sites are found most consistently in the differentially expressed genes for the neuropsychiatric cluster datasets.

A pollution assessment based on the surficial sediment dataset by Enrichment Factor (EF) showed the surficial sediment was moderately contaminated.

Using the dataset comparing enrichment of AcH4 in rco1Δ mutants versus wild type, we identified genes that grouped into three clusters based on their enrichment patterns (Figure 3B).

Clustering was performed as follows: ORFs from the dataset comparing enrichment of AcH4 in rco1Δ mutants versus wild type were divided into 6 bins [51], followed by K-means clustering using MeV [57], which is part of the Tm4 Microarray Software Suite [58].

For dataset #3 enrichment of the HOXA group of developmental genes was calculated.