Sentence examples for microarray data mining from inspiring English sources

We further use microarray data mining and a comparative genomics approach together with gene ontology (GO) analysis to study the molecular mechanisms of resistance to methyl viologen.

The signature cube generalizes the principles of the correlation signature by providing a heterogeneous microarray data mining framework where data are represented in relative terms (i.e., inter-gene relations).

The authors thank Jeroen Pennings for help with microarray data mining.

Microarray data mining was performed in accordance with the procedure described in Table 1.

Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining.

It should be noted that our intentions were not to exhaustively explore the data set but rather to illustrate the utility of microarray data mining in endocrine research.

To this end, we analysed microarray data mined from a public database of the non-ciliated flowering plant Arabidopsis thaliana [ 28].

We used a combinatorial approach involving microarrays, data mining and prediction of target miRNAs to profile changes in gene expression during progression of ADPKD, integrate various signaling pathways and present a possible cellular signaling circuitry in PKD.

The systematic approach has to include computational dynamic modeling coupled with microarray data, data mining, dynamic view of rapid responses and network structural view arising from high-throughput analysis of the interacting species [ 18].

Our stroke PPI model was constructed from differential expressions of stroke and normal microarray data and data mining of PPI information from the BioGRID database.

Our cancer PPI model was constructed from the differential expression of cancer and noncancer microarray data and data mining of PPI information from the BioGRID database.