Sentence examples for expression mining from inspiring English sources

The system also provides a search interface to users for gene expression mining.

It is a gene expression mining system that can generate unsupervised patterns automatically from a given set of seed patterns.

This work presents a novel greenware, hSAGEing that provides a friendly gene expression mining interface for analysis, comparison, and visualization of the built-in human SAGE data.

ChREBP mRNA expression, mined from the Illumina data set, correlated positively with the expression of all genes identified in the study of Jeong et al (2011) as upregulated by ChREBP apart from pyruvate dehydrogenase kinase 2 (PDK2).

Analyses of various Arabidopsis tissue expression databases and co-expression mining algorithms, however, revealed that OEP9 expression is relatively high in roots (Figure S1a c) and is co-regulated with several other genes, most of which encode cytosolic or plastid ribosomal proteins (Figure S1d).

From the approaches described above, one can conclude that microarray expression profiles mining, text mining and biological network analysis are very robust techniques when it comes to connecting biological entities (drugs, diseases and genes).

Our reanalysis of microarray data using alternate expression-mining algorithms resulted in the identification of more rhythmic genes that could underlie important rhythmic mosquito physiological processes – notably, detoxification, immunity and nutrient sensing genes.

We propose a workflow that merges network construction with gene expression data mining focusing on regulation processes in the context of transcription factor driven gene regulation.

In this review, we report on the plethora of gene expression data mining techniques and focus on their evolution toward knowledge-based data analysis approaches.

Recently, there have been some applications of ARM or ACM in the biological domain that are focused on genotype-phenotype mapping [14], gene expression data mining [15 17], protein-protein interaction (PPI) [18] or protein-DNA binding [19].

The proposed gene expression relation mining system, AutoPat, applied the weighted patterns to extract regulation relation information from literature.