Sentence examples for computation of expression from inspiring English sources

Computation of expression values was performed using the perfect match/mismatch model implemented in dChip [ 20].

The computation of expression values were conducted using dChip software [ 74] (Cheng Li Lab, Harvard).

An R-package integrating the background analysis scheme with the computation of expression values from background subtracted data will be made freely available to the community (a preliminary version of this package can be found in http://itf.fys.kuleuven.ac.be/~enrico/ilm.html).html

After manual assessment and quality control, all 80 datasets described above were individually pre-processed (background correction, normalization and computation of expression values) according to methods described by Hubbell et al. (13) using the 'affy' R package from Bioconductor (14), which assures uniformity of the analysis process.

Once vectors,, and matrix are computed, the estimation of the quantization noise does not require a simulation but the computation of expressions (19)–(21), which is a much faster process, (19).

For cDNA microarray and iTRAQ-based proteomics, a common reference sample was constructed by mixing equal aliquots from all six samples facilitating computation of relative expression profiles and expression ratios across tissues.

Computing the parameters of individual interactions allows us to formulate "dynamic" models of gene expression networks that not only define interactions among the genes of the network but allow the computation of gene expression levels from the expression levels of other genes in the network – it is possible to study dynamic properties of a network by simulating different experimental conditions.

Impact of the virtual mutation on other genes was determined by computation of their expression profiles using the parameters computed previously.

A total of 16,627 of these CDSs were expressed in 53 SAGE libraries (see "Computation of gene expression levels" below).

We developed a mathematical function, parameterized using this synthetic gene data set, which enables computation of protein expression levels from ORF nucleotide sequences.

We recommend its incorporation to any computation of gene expression changes using high-density DNA microarrays.