Sentence examples for microarray dataset series from inspiring English sources
Given that tumor aggressiveness has been linked with EMT ([ 51], reviewed in [ 52]) we examined the expression of MYB in a publically available microarray dataset series of human breast tumors [ 50] and observed that MYB expression was generally high in Luminal A and Normal-like tumors but dramatically lower in Basal and Her2 + tumors.
When applied to a cell cycle time series microarray dataset, SPD was not provided any prior knowledge of samples' time order or of which genes are cell-cycle regulated, yet SPD recovered the correct time order and identified many genes that have been associated with the cell cycle.
The dataset we chose was a recent synchrony/release time-series microarray dataset from the yeast Saccharomyces cerevisiae measuring gene expression through the cell cycle (GEO Accession: GSE8799)[ 2].
All twelve DNA microarray datasets are time series observations intending to analyze circadian rhythm.
We modeled the overall survival using the gene expression microarray datasets with a series of Cox proportional hazards models.
By applying PRIISM on a high-resolution time-series Arabidopsis microarray dataset under a cold treatment, we systematically evaluated our method using maximum fold change and principal component analyses.
The first microarray dataset is the gene expression time series collected by Spellman et al. [ 28].
The second microarray dataset is the gene expression time series from experiments by Arbeitman et al. [ 30].
To demonstrate our method, we applied our algorithm to a microarray dataset obtained from a progression and reversion series of breast cancer cells.
The full microarray dataset from [ 4] is available in accession series in the NCBI GEO (Gene Expression Omnibus) repository [GEO GSE13113].
This microarray dataset is described in the Gene Expression Omnibus (GEO) series GSE27299, and individual samples are available under GEO accession numbers GSM675013-GSM675072 (including both pre- and post-normalization data).
