Exact(1)
A significant dataset was gathered on the sand-rich, confined, siliciclastic turbidite system of the Annot Sandstone Formation (SE France).
Similar(59)
Furthermore, the microarray data for the probes of the significant dataset were mapped to Arabidopsis using the MapManBin software (http://ppdb.tc.cornell.edu/dbsearch/searchacc.aspx).edu/dbsearch/searchacc.aspx
To investigate whether the differences in the genomic regions of the non-GCB and GCB patient groups were statistically significant, a dataset was constructed by defining genomic aberrations as copy number gains for log2 ratio thresholds of +0.2 or greater, and as copy number losses for thresholds of −0.2 or less.
A dataset was considered significant if it had a family wise error rate (FWER) < 0.05.
The major QTL QPc.crc-14D was also significant when the dataset was analyzed by multiple interval mapping.
We found that systematic biases do exist, and that the absolute number of unresolved genotypes omitted from a dataset is a significant predictor of the magnitude of bias.
Because a majority of clades with BS ≥ 70% and PP ≥ 0.95 were congruent without significant conflicts, the concatenated dataset was presented for further discussion.
Even the weakest level of agreement between datasets (Untreated vs. Africa, by far the smallest dataset) was significant (p-value = 10-3.75).
The presence of chimeric sequences in a EST dataset is considered a significant barrier to achieving accurate clusterings in the absence of a reference genome (Sorek and Safer, 2003).
The most significant E-score for this dataset was Age-at-DX, age at diagnosis.
The most significant E-score for this dataset was Age-at-DX (ie, age at diagnosis).
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