Sentence examples for supervised gene expression from inspiring English sources

Moreover, the specificity of supervised gene expression signatures with respect to which genes are included has been challenged [ 24].

In the current study we aimed to delineate transcriptional differences between AC arising in smokers and never-smokers in seven AC data sets by both unsupervised and supervised gene expression analysis.

Using supervised gene expression analysis in the original 39 AC cohort and six validation data sets we generated never-smoker and smoker gene expression centroids for each data set (in Additional file 1: Table S1).

Both unsupervised and supervised gene expression analysis identified simple classifiers (harboring both smoking induced genes and genes implicated in lung tumorigenesis) with high sensitivity in identifying never-smokers across multiple AC and normal tissue data sets.

In the present study, we aimed to delineate transcriptional differences between never-smokers and current/former smokers with AC by both unsupervised and supervised gene expression analysis, combined with conventional molecular assays, measurements of pathway activation by different gene expression metagenes, and histopathological data, across several AC data sets.

All of the patients included in the study received radiotherapy as the main therapy and cisplatin as a radiosensitizer Based on the microarray analysis, we identified a supervised gene expression profile that differed dramatically between the non-responding and responding cervical tumors.

A classic supervised analysis of gene expression data was carried out to select genes constitutively expressed or silent during myelopoiesis and to identify, using SAM, genes differentially expressed during commitment phase of different lineages.

This supervised analysis correlates gene expression with a clinical variable based on a score calculated using the change in expression and the standard deviation across all samples.

These findings are then confirmed by a subsequent supervised analysis of gene expression data.

A general approach to find prognostic markers in colon cancer is using supervised analysis of gene expression.

MDT: supervised human MB gene expression profiling and pathway analysis and provided expertise for the manuscript's content.