Sentence examples for volume of expression from inspiring English sources

However, even with highly improved technology, the microarray community continues to struggle with the analysis, interpretation, and extraction of biologically relevant knowledge from the large volume of expression measurements.

The regulatory information is calculated as encoding the order of all protein molecules in a cell, which includes timing and volume of expression.

The increasing volume of expression data from RNA-seq studies represents a valuable source of information for the plant research community.

A simple gene count does not suggest a very strong bias, e.g. 55%45%% for E. coli [ 31], but the bias is stronger when the volume of expression is taken into account.

The plot uses microarray expression data to estimate the volume of expression but a similar graph is obtained from the approximation that counts one unit of transcription at each base between TSS and TES for each gene.

These observations were validated by calculating the volume of expression (the averaged expression values of each probe within the gene set after removing all the negative values in the matrix) to confirm that the visually identified group of cases had indeed the highest levels of expression relative to other groups of cases.

The proliferation in the use of next-generation sequencing technologies by the plant research community has led to the accumulation of large volumes of expression data.

Sall1 reaches further towards the anterior of the limb than Hoxd13 (Figure 2 G I, ii) but 84% of the total volume of Hoxd13 expression overlaps with Sall1 expression.

High-resolution autoradiography of prostate sections coupled with 3D reconstruction of gene expression demonstrated that the magnitude and volume of gene expression could be quantified with submillimeter resolution.

High-resolution autoradiographs of prostate sections coupled with a 3D reconstruction of gene expression were generated, demonstrating that the magnitude and volume of gene expression could be quantified [ 114].

Due to the huge volume of gene expression data, GRN inference algorithms should infer GRN at a reasonable runtime.