In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates) increase the data points from tens of thousands of measurements for a single ...
The impact of microarray technology on biology will depend on computational methods of data analysis. A supervised computer-learning method using support vector machines predicts gene function from ...
Investigators have two important questions to consider when evaluating microarray expression data. First, they must ask whether the results are valid—in other words, accurate—for the particular ...
Statistical and Biological Review of Transcriptome Data Made Possible by Interactive Report Although bench scientists understand the value of using gene-expression microarray technology, the full ...
Serial analysis of gene expression (SAGE) uses mRNA from a sample to create complementary DNA (cDNA) fragments for amplification and sequencing using high-throughput sequencing technology. Credit: ...
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