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In order to optimize our H. armigera microarray design and maximize the output of subsequent gene expression profiling experiments, a Pre Selection Strategy (PSS, Imagenes) approach was used to select well performing probes based on initial test hybridizations.
The study was based on a pre selection of patients with an abnormal non-fasting glucose value (≥ 8.0 mmol/L).
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If several primer pairs qualified, a pre-selection for efficiency was made by selecting for lowest CT values.
A Pre-Selection Strategy (PSS) [ 59] was used to select the best-performing probes by hybridizing either cRNA derived from pooled total RNA (identical to the RNA used in cDNA library construction for sequencing) or genomic DNA to these arrays.
Moreover, a pre-selection of relay candidates is performed prior to the splitting algorithm.
The application of a pre-selection method allowed the use of only the largest functionalised f- PVA GO f- PVA GO
First, C. acetobutylicum ATCC 824 was chemically mutagenized and subjected to high butanol concentrations as a pre-selection step.
We have developed a pre-selection algorithm to identify mass lesion candidates in digital breast tomosynthesis (DBT) images.
Comparing MKL with Lp-norm(p≥2), SMKL obtains a sparse solution by a pre-selection procedure.
The method considers generation far from users and a pre-selection process is presented in order to screen the initial pool of potentially infinite generation points.
Here, screening methods play a major role, as they reduce the complexity of a system studied by making a pre-selection from a set of alternatives available.
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