Sentence examples for microarray datasets analysis from inspiring English sources

See also Electronic supplementary material (ESM) methods for heatmap and public microarray datasets analysis.

Despite the need of an experimental validation of these new biological hypotheses, one of our goals was to exemplify and stress the importance of public microarray datasets analysis by using different and novel bioinformatics models and thus expand knowledge and information about important biological problems.

Roberto Puzone performed the microarray dataset analysis and participated in the interpretation.

A detailed microarray dataset analysis, based on clustering of similarly expressed genes (GEDI software), can detect underlying global-scale responses, which cannot be detected by means of individual gene expression techniques using raw or corrected p values (FDR).

KC carried out the selection of microarray datasets, biclustering analysis, functional analysis, and drafted the manuscript.

Here we present a summary of the microarray dataset, including analysis of tissue-specific gene expression profiles and associated expression profiles of relevant metabolic pathways.

A popular example is the commercial Ingenuity Pathway Analysis software (www.ingenuity.com), which links processed microarray datasets with pathway analysis.

In the present study, we used a combination of hierarchical clustering and overall survival analysis of a novel microarray dataset, meta-analysis of published gene profiling studies, and cell culture experiments to investigate a potential role of a Notch-1 survivin Notch-1 survivinn breasignaling.

Candidate genes were identified by standard statistical methods for analysis of microarray datasets: gene set enrichment analysis (GSEA) was performed using hypergeometric tests with FDR correction within the GeneAnswers, https://www.bioconductor.org/ package mapped to Reactome pathways and Gene Ontology (GO) categories.

To test this hypothesis, we related DPGs to three microarray datasets for expression analysis (Methods).

Filtering methods applied to microarray datasets prior to analysis increases the correlation among technologies [ Pounds and Cheng, 2005; Kuo et al., 2006].