Sentence examples for use of microarray data from inspiring English sources

To make the best use of microarray data and avoid incorrect or unsubstantiated conclusions, care must be taken in the statistical analysis.

Advancements in measurement techniques and computing methodologies have resulted in the use of microarray data in application to genetics, medicine, and patient diagnosis.

Furthermore, it facilitates the use of microarray data to validate deep sequencing results.

We are also in debt to Marilyn Pray-Grant for critical reading, Dr. Karen Guillemin of the University of Oregon for the use of microarray data, and Drs. Melanie Hamon and Pascale Cossart of the Institut Pasteur for sending ChIP and RT-PCR primer sequences.

Another interesting prospect is the use of microarray data, to identify expression QTLs [ 95].

The validation of gene cluster information presents a key challenge for the best use of microarray data.

This enables novel uses of microarray data repositories and offers an advantage over existing analytical methods.

Although both the EPA and the FDA have discussed possible uses of microarray data, only the FDA has issued requirements for the submission of such data.

The Robust Multichip Average (RMA) approach was used for normalization of microarray data using the R/Bioconductor package as previously described [ 49].

In one decade, the effort has trained over 360 faculty and 24,000 undergraduates in the use and interpretation of microarray data.

Cluster analysis of miRNA data was done using the Multivariate Analysis of microarray data using ADE4 [Culhane et al., 2005].