Sentence examples for use the expression levels from inspiring English sources

The article proposed to use the expression levels of a small number of genes for the diagnosis of MPM and lung cancer.

To optimally use the expression levels of these latter marker genes to separate lymph nodes with and without tumour cell involvement, the quadratic discriminant analysis (QDA) was employed (Bosma et al, 2002) (see Material and Methods).

Very often in microarray experiments, the most differentially expressed genes are used to construct prognostic or predictive signatures: machine learning methods are trained to use the expression levels of those genes to predict, e.g., the disease state of a patient and probability of survival.

Thus, single-gene targeted approaches use the expression levels of a gene as the prediction target and the expression levels of other genes (for example, transcription factors) as features, and learn the relationship of the target genes and other genes using machine learning algorithms and gene-feature selection methods such as different regression methods [ 3] and Random forest methods [ 6].

In addition to the identification of significant expression patterns in tumors, we used the expression levels in healthy tissues to detect co-expressed genes under normal conditions.

Since at this early stage, sex determination is starting (Sry is expressed at 10.5 dpc, the possible skews in representation were followed using the expression levels of Y-specific markers such as UtY, which were not different between the groups.

We propose to utilize the analysis of variance for identification of stress-related gene modules by using the expression levels of the Eigen gene as the dependent variable and the treatment conditions of the sample as the independent variable.

The EES was computed using the expression levels of five single knockout mutants, and used to predict their expression levels in the double mutant.

The regulatory program uses the expression levels of the set of regulators to predict the condition-dependent mean expression of the co-expressed genes.

This way we can simultaneously evaluate and compare mRNA and miRNA candidate regulators, using the expression levels of each class of regulators.

When deterministic analysis in used, the expression levels of both genes reach some steady state value and do not exhibit any further change.