Sentence examples for by unsupervised expression profiling from inspiring English sources

This was already apparent in molecular subtypes defined by unsupervised expression profiling classification.

Unsupervised expression profiling in monocytes and macrophages by using the 1,000 most differentially expressed genes those with the highest coefficient of variation (Cv was unable to clearly distinguish individuals with and without atherosclerosis.

Unsupervised gene expression profiling of cancer-associated stroma revealed a signature enriched for CD8+ T-cell responses that was predictive of good prognosis [ 20].

We have performed unsupervised gene expression profiling in a cohort of 276 gliomas of all histological subtypes (Gravendeel et al, 2009).

The vast majority of LUATs exhibit tissue-specific expression patterns as underlined by unsupervised clustering of expression profiles (k-means algorithm; Figure  4A) and the restricted number of tissues where each of them was found (Additional file 10: Figure S5).

Interestingly, unsupervised gene cluster analysis by global gene expression profiling has demonstrated that non-muscle invasive and muscle invasive TCC fall into two distinct subgroups that identified EMT-related genes as relevant [ 19- 21].

To explore whether HCC and non-neoplastic tissue could be distinguished at molecular level by the expression profile of IAPs and inhibitors, unsupervised hierachical clustering (dChip) was performed.

Unsupervised clustering of expression profiles for differentially expressed genes was carried out using Pearson's correlation and an average agglomeration algorithm.

The probability that the unsupervised clustering of expression profiles predicts susceptibility status by chance is < 0.01 (10,000 permutations, see Methods and Additional File 2).

Unsupervised clustering of expression profiles shows a clear segregation of PM samples from APL samples, which is confirmed by principal component analysis.

The genes that were differentially expressed between wt and Rage -/- mice at the time point 24 hours after TPA application were divided into three sub-clusters with different gene expression profiles by unsupervised hierarchical clustering within samples at the time point t = 24 hours (complete linkage, the distance was calculated by one minus the Pearson correlation coefficient).