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This preprocessing increases the statistical power of analyses using false discovery rate on simulated data.
For BF[15°]+BSS-l1, BF[10°] +BSS-l1 and BF[5°]+BSS-l1, the beamforming preprocessing increases the SDR of the estimated sources comparing with the single stage BSS-l1 algorithm.
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In the reference-based scenario, preprocessing increased the number of uniquely aligned reads from dataset 1, as seen in the first portion of Table 1.
Note also that the amount of preprocessing work increases with increasing q.
For both algorithms, the time and memory consumption of the preprocessing phase increases as network size increases, although not substantially; and WW preprocessing consumes more time and moderately more memory than MS preprocessing.
In this set of experiments the introduction of clustering as a preprocessing step increases the number of contigs and the N50.
Any original image (e.g., Figure 1) is preprocessed for increasing the contrast of pulp fibroblasts relative to the extracellular matrix.
On the other hand, the use of the multiresolution analysis and the LDB algorithm that selects a basis from a dictionary that illuminates the dissimilarities among the two classes presented an important preprocessing step for increasing the discriminatory powers of the extracted features.
Mass spectrum preprocessing algorithms can increase the number of identified peptides and improve the reliability of the peptide identifications.
The algorithm introduces several preprocessing steps that result in increased speed (up to several times faster), accuracy (more relevant channels are identified) and robustness.
Mulitplexing with iTRAQ and identifying as many proteins as possible in the post-IP eluent reduce the risk of missing proteins of interest due to preprocessing steps like DIGE, but increase the risk of identifying proteins that are not necessarily associated with assembled α4β2∗ nAChRs.
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