Sentence examples for feature probe from inspiring English sources

Therefore, we simply assigned the polymorphism to a feature (probe) and called it a single feature polymorphism (SFP) as described [ 28].

Total RNA from cells treated with SC236 (5  μ M) or vehicle control for 4, 6 or 8 h was pooled and used to probe Affymetrix HGU95Av2 GeneChips that feature probe sets for over 12 000 different human transcripts.

Within the RNA-seq protocols, ClonTech appeared to produce signal ranges and "quasi-signal-to-background" ratios that were better than RiboZero.> A linear regression analysis was performed between the sample titration and the signal or read count for each feature (probe, probeset, exon, or gene) within each platform.

Given the raw intensity (S) of each feature (probe) determined by the gene expression level (I), the affinity (A) between the target transcript and the probe, and random error (E) [ 58, 109- 111], the equation can be modeled as Atij + Etij = Stij - Iti.

With the advent of next generation sequencing [8], [9], tiling [6], [10] [13] and exon arrays [14], which feature probes targeting many more speculative areas of the genome [15], [16], numerous studies have found evidence for transcription outside known or predicted protein coding genes [6], [10] [13], [17].

In addition, variables affecting resistance to mass transfer (e.g., membrane features, probe configuration, perfusion flow rate and chemical composition of inner and outer media), are thoroughly discussed along with effective means to enhance extraction fractions.

Compared to available miRNA microarray platforms, the NGS systems are not limited by a predefined number of features, probe design, probe cross hybridization or array background issues.

Seeing the facial features, probing the brain, they said, is nothing short of profound.

For the subsection "Using Gene Expression Data to Make Clinical Predictions" (covering studies [6] and [7]), the main challenge is handling the Big Volume of the features (probes).

A key factor to the good performance of predictive models containing a higher number of features (probes in our case) than observations (patient samples) (i.e., p ≫ N) is the selection of the most relevant features to the response.

Fortunately, with current technology, this is already possible because available arrays have a large amount of redundancy multiple oligonucleotide features (probes) are used to assay the same SNP.