Sentence examples for dataset from the rat from inspiring English sources
By analyzing a large GeneChip® dataset from the rat intestine, we identified a large cluster of 228 genes that was induced by iron-deprivation.
We applied SVD to time-series gene expression datasets from the rat experimental models of stroke and seizures.
This dataset differs from the rat brain dataset in the following respects: (i) it represents pathology (tumor), (ii) the tissue is more complicated, the difference between anatomical regions is not that clear, (iii) the tumor area is a heterogeneous composition of tumor cells, tumor stroma, and connective tissue.
Due to the high incidence of sex-specific or sex-influenced QTL, the male and female data from the rat and mouse datasets were separated for individual species analysis; only QTL from these analyses were considered for multi-species combination.
The available datasets include the rat β and α cells microarray data performed in this study, MPSS data from human pancreatic islets as well as other publicly available dataset.
We further implemented this tool on an RNA-seq dataset from rat genome, for which alternative-splicing annotation is not available.
Here, we report a time-series dataset from gene expression profiling in the rat MCAO model of stroke, and compare these data to the published time-series dataset from the kainate-induced seizures model [ 23].
We compared two time-series gene expression datasets from experimental rat models of stroke and epilepsy, which were the transient middle-cerebral artery occlusion (MCAO) and the kainate-induced seizures, respectively.
Subsequently, we applied machine-learning based classification approaches to the two firing patterns within the same dataset collected from rat medial prefrontal cortex during trace eyeblink conditioning.
