Sentence examples for cellular dataset from inspiring English sources

Finally, we took the intersection of upregulated cellular mRNAs (referred to as mNCup) and the intersection of downregulated cellular mRNAs (referred to as mNCdown) obtained from the t-test, permuted t-test, and SAM for the mNC versus mYC cellular dataset.

We adopt a weighted features Bayesian predictor and evaluate its accuracy on two large scales WiFi and cellular datasets.

Eight percent of sequencing reads are unable to be aligned in plasma as opposed to ~3%% in the cellular datasets.

We carried out strand cross-correlation analysis [ 58] to capture recurrent events of read coverage along the genome in the plasma and cellular datasets; with the hypothesis that the non-random nature of cell-free DNA cleavage would lead to clusters of reads that would not be present in cellular DNA sequencing data.

Concatenated analyses of these datasets under ML produced similar results, however the tree estimated for the mitochondrial cellular component dataset was generally poorly supported (Additional file 5: Figure S4).

This is the first cellular resolution dataset of a genetically perturbed Drosophila embryo that captures all cells in 3D.

In the cellular mRNA dataset, there are three samples from U937 cells expressing Nef-EYFP (called mNC) and two control samples from U937 cells expressing EYFP (called mYC).

The bcd RNAi gene expression atlas will provide the developmental systems biology community with a cellular resolution dataset for testing computational models of how individual regulatory circuits position expression domains (Staller et al., 2015).

The scenario built over real cellular network datasets was compared in terms of migrated volume and number of enabled cloudlets for reference mobile cloud services among different traffic engineering and performance goals.

Therefore, by taking advantages of the data from both public repositories, one may investigate the correlations between the bioactivity profiles of small molecules from the NCI-60 dataset (cellular level) and their patterns of interactions with relevant protein targets from PubChem (molecular level) simultaneously.

After eliminating overlaps between the two datasets, cellular expression patterns could be identified for 293 genes of the AM core set.