Sentence examples for microarray experiment that from inspiring English sources
We have developed the THEME (Tsing Hua Engine of Microarray Experiment) that exploits all necessary data analysis tools for loop-design microarray studies.
Thus, for a microarray experiment that measures the expression of 5000 genes, one should measure the expression of each gene under more than 5000 different conditions.
This reflects our belief that, for any particular intervention, there will be relatively few genes (of the over ten thousand that are measured in a microarray experiment) that are affected.
We conclude from our microarray experiment that there remains in this EST dataset a large proportion of functional genes lacking sequence similarity to genes in annotated genome databases.
Some companies will not test a drug with a microarray experiment that has any chance of becoming part of a regulatory package.
In our experiments we extract all valid pathways from each microarray experiment that are observed between prespecified start and end compounds.
We take as an example recent published reports on microarray experiments that were designed to identify retinoic acid responsive genes.
The design and analysis of ChIP-microarray (also called ChIP-chip) experiments differ significantly from the conventions used for more traditional microarray experiments that measure relative transcript levels.
Using a collection of 1152 neuronally relevant cDNAs, this report describes simple modifications in experimental design of radioactive microarray experiments that, (1) improves reproducibility; (2) allows recovery from a failed experiment and; (3) provides a type of replicate data set with no requirement for additional arrays, no additional probe labelings, and little extra cost.
We followed up a surprising observation that a large number of mitochondrial transcripts are detectable in microarray experiments that used poly(A -specific RNA -specificnd that these tRNAscriprobesels and significanthatenhanced aftheseeatranscriptt.
This means explicitly that we do not use time series data from, e.g., DNA microarray experiments that would allow to test statistically for periodic behavior or appearance of genes.
