Sentence examples for considering gene expression changes from inspiring English sources

Note that without considering gene expression changes, all simulations yielded identical results (except for acetic acid, which can be metabolized by S. cerevisiae) because all model parameters were fixed at the same values.

In our initial model, we focused on early signaling events in cell proliferation and did not consider gene expression changes which lead to mitosis.

In addition, for classification purposes it is irrelevant whether the gene expression changes considered good discriminants for a toxic response are causally linked to the toxicity.

Several reports have recently shown that integrative strategies can be very useful to identify driver genes, considering the hypothesis that disease-associated gene expression changes are frequently induced by genomic alterations [ 3, 6- 10].

Considering that we could not observe gene expression changes for those genes since no Affymetrix ID probes were present on the chips used in this study, we took advantage of RT-qPCR assays to test their expression in the "Validation set" of samples.

Even if considering the average gene expression change of the whole neighborhood at the different scales, we observed no significant correlation between gene activity and gene chromocenter distance except for measurements considering the 2-Mbp genomic region (Fig.  2c).

Since expression data for a gene collected under different experimental conditions or at different time points are not completely independent, distinguishing genes with similar expression profiles in which the dynamics of gene expression changes is considered is of biological interest [5].

Individual gene expression changes were considered significant if they satisfied the criteria of fold change >1.2 and P-value <0.05.

> To model time-associated gene expression changes we considered the following linear expression: v g i = v k 1 + b g v k 1 t i, { b g = 0, if g is not DEG b g ≠ 0 if g is DEG i = 2, …, T where 5% genes have b g values different from zero and are differentially expressed.

Quantitative polymerase chain reaction (Q-PCR) is now considered the "technique of choice" for validating gene expression changes identified with ribonucleic acid based expression profiling technologies (especially micro- and macroarray techniques).

Fold change is a commonly used measure in small laboratory experiments of gene expression; it is considered to be a natural measure for gene expression changes [ 29].