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At the same time in all methods of multicriterion optimization the vector quality criterion is considered basically in the linear Euclidean space.
The applied algorithm solves in the sense of Pareto the task of multiobjective optimisation of a vector quality index, which describes the influence of faults, noises and modelling uncertainty on the considered system.
Nevertheless, using standardized conditions, these methods allow a good estimation of vector quality and titers.
Besides quantifying lentiviral vector concentration, the optimized RT-qPCR also provides us with an alternative method to evaluate vector quality after production.
This international multicentre approach is expected to facilitate gathering of data (safety, multi-lineage reconstitution, clinical efficacy) across the board by maintaining uniform parameters of pre-conditioning and vector quality (Avedillo et al., 2011; Dupre et al., 2006; Galy et al., 2008; Scaramuzza et al., 2013) (see Table 4 for summary).
Overall the microsatellites in LG11, LG12, LG14 or LG23 are in the same order in the RH and genetic maps except for small local inversions that may be due to vector quality (see the data computation chapter) in one of the mapping methodologies.
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Especially, these two dictionaries share the same sparse coefficients, so that the reconstruction errors from the image feature vectors and quality score vectors are both minimized.
Those ESTs having a length of more than 200 base pairs after both vector and quality trimming were considered "high-quality" ESTs.
Vector clipping, quality trimming and sequence assembly using stringent conditions (e.g., high quality sequence trimming parameters, 96% sequence identity cutoff, 35bp overlap) was done with the Lasergene software package (DNAStar Inc).
Vector clipping, quality trimming and sequence assembly using stringent conditions (e.g. high quality sequence trimming parameters, 95% sequence identity cutoff, 25 bp overlap) was done with the Lasergene software package (DNAStar Inc).
The correction made on the data resulted in a significant decrease in the amplitude of the disturbance affecting VFM measurements, therefore greatly improving the magnetic vector data quality.
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