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We used differential dynamic gene expression analysis of the time series expression data, described by Shirvani et al. [28] and outlined in Materials and Methods, to discover which genes were differentially regulated by the HER2 oncogene in MCF10HER2 cells compared to HER2 proto-oncogene regulation in the MCF10A cells.

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Then we propose the model learning and inference methods to discover the latent correlation between RGB and depth data as well as model temporal context within individual modality.

Extensive research is being carried out both with high-throughput biotechnology and computational methods to discover PPIs [ 10- 14].

Here, we analyze all metabolic reactions in one microorganism by both topological and quantitative methods to discover critical reactions.

Over the past several years, the advancement of increasingly high-throughput and cost-effective methods to discover and measure SNPs has begun to open the door towards this endeavor.

In the framework, we first define symmetry matrices to characterize the geometric symmetry relation among image features, and then develop two methods to discover such symmetry.

Here, we present new methods to discover and characterize SAM and SAH binding proteins using fluorescent CCs.

For instance, it seems that temporal expression profiles of genes or proteins from high-throughput experiments could be clustered by pathways and then analyzed with the proposed methods to discover differences between normal and disease conditions.

In the context of immunoproteomics, such protein microarrays are complimentary to approaches using non-recombinant methods to discover and characterize bacterial antigens.

The second one, discovery-based approach, makes use of repetition detection methods to discover new and unknown ads from an existing collection and keep a database of all these advertisements for matching and detection of their recurrences [5 8].

In this paper, we study methods to discover words and extract their pronunciations from audio data for non-written and under-resourced languages.

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