MS patients and MS patients being treated with inteferon-beta based on microarray data -- was presented recently at the First Society for Industrial and Applied Mathematics Conference on Data Mining ...

Currently, the EBI is assessing the suitability of different data mining algorithms to microarray gene expression data, e.g. neural networks, classification trees, market basket analysis ...

We resorted to public microarray databases looking for DNA-binding proteins that are present in naïve resting T cells but are downregulated when the cells are activated. A Bayesian data mining ...

The use of high-throughput gene expression analysis technologies, such as microarrays, yields reams of data. Unfortunately, data stemming from competing and alternate technologies is often stored in a ...

The study results challenge the current paradigm of microarray data analysis and suggest that ... The team used text-mining to identify genes known to be associated with breast, colorectal ...

Many early studies focused on unsupervised approaches to data-mining, such as hierarchical ... 25 showed that microarray-expression profiles can be used to classify disease states.

In the framework of the purchase Ocimum will take over the microarray know how ... and an array of custom services including microarray data mining and analysis, algorithm development, gene ...

Recently published data generated by researchers at The University ... a preclinical animal study utilizing Vaxxas’ high-density microarray patch (HD-MAP) technology. The DNA vaccine, owned ...