Sentence examples for cell data set from inspiring English sources
These correlation values are similar to what we measured in the asynchronous NB4 cell data set.
The data set was merged with the mRNA half-life data from the BRIC-seq HeLa cell data set, with chromosomal assortment.
Conversely, when the treated cell data (set A) are given as the "treatment" set to CentriMo, the Fisher E-value is always its maximum possible value (884, the number of motifs given as input to CentriMo).
Compared to those methods without histone methylation information [ 13, 11], the augmented features indeed led to improved performance: a ~94% specificity and ~74% sensitivity on the CD4 T cell data set using a support vector machine-based classifier [ 13].
qPCR cycle threshold (Ct) raw data were processed with ViiA 7 RUO software (Life Technologies) excluding data that failed QC. miR-646 was removed from primary cell data set analysis, since mature miR-646 was not expressed in rat.
If a miRNA was found in both EV data sets but was detected in only one data set from cells (due to its low expression value) it was assigned one read in the other cell data set for the purpose of calculating an EV cells ratio.
By contrast, there was an almost exclusive detection of mitochondrial respiration-associated transcripts in whole cell data sets (Fig. 5).
(a) Top panel: Total number of genes detected (count ≥ 4) from nuclei (*Indicates data sets generated from sorted nuclei frozen prior to C1 loading) and whole cell data sets representing S1 excitatory neurons.
Furthermore, comparing the vascular and endothelial cell data sets we are able to identify many genes that are highly enriched to pericytes/VSM.
Biclustering of PEFs on the dendritic cell data sets gave concordant and biologically relevant results, the responses elicited by stimulation with S. cerevisiae follow the same downstream signalling as the ones in response to the fungus A. fumigatus [30] [33] their PEFs clustered one next to the other with all the metrics used.
A challenge in analyzing single cell data sets involves finding both the major and minor patterns that characterize cell populations.
