The MicroArray Quality Control (MAQC) consortium has evaluated methods for making clinically useful predictions from large-scale gene expression data. Existing clinical predictors have well-known ...

Artificial neural networks were used to decipher gene-expression signatures collected with DNA microarrays and to classify cancers into specific categories. Will this technology lead to better ...

A recent study highlights how DNA microarray technology enables high-throughput gene analysis, supporting variation detection, expression profiling, and clinical research. By refining probe design and ...

Protein microarrays are emerging as one of the most active areas in biotechnology today. Steady advances are overcoming initial skepticism as to their feasibility and utility. Industry sources project ...