Sentence examples for dataset affected from inspiring English sources

For recovery liabilities, it was clear that the severely reduced dataset affected the estimates unfavorably.

We first asked whether expression levels from the 454 dataset and qPCR experiments were correlated, and whether the normalization method of the 454 dataset affected these correlations.

Furthermore, while using a background control dataset affected the false discovery rate of all other evaluated peak callers, MeDiChISeq performed equally well in identifying true binding events in presence and absence of this control.

A quota of variability derived by different annotation and global gene number of the independent dataset affected the comparison at the gene level, and 53% of gene and 82% of miRNA clusters, identified in the independent dataset were validated both in Chinese and Caucasian Italian datasets (Table S5 and Fig. S2A and B).

This could be an indication that many SNPs (i.e. several hundred) in our panel are significantly associated with ApoB level or, alternatively, that a previously undetected stratification in the dataset affects the results.

Changing the training dataset affect the data distribution and therefore the parameters of the transfer function.

Hence, the heterogeneity and number of the tumor samples in the dataset affect the relative expression values.

Results completed with the use of synthetic datasets affected by different levels of noise and real-world datasets show the effectiveness of the algorithm, which can significantly reduce the number of false positives, false negatives, and the number of records selected for review.

This paper evaluates eight different concept drift detectors (ddm, eddm, pht, stepd, dof, adwin, Paired Learners, and ecdd) and performs tests using artificial datasets affected by abrupt and gradual concept drifts, with several rates of drift, with and without noise and irrelevant attributes, and also using real-world datasets.

Despite the value of performing data normalization on datasets affected by within-plate effects, normalization methods often introduce bias when applied on any dataset (Dragiev et al., 2011).

When coping with datasets affected by HGT, the most reliable way to avoid artefacts is to carry out independent analyses for each marker.