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This approach helped to achieve faster computational time as well due to the reduced number of data points.
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Regretfully, no increase in the number of peaks was detected for the azide complex (Supporting Information, Figure 3), while the cyano complex revealed a significantly reduced number of peaks (data not shown).
(e) The reduced number of genes in the merged data sets.
PCA did not reveal that a substantially reduced number of dimensions explained these correlated data – six principal components were required to explain 85% of the variance.
OD [68] computes optimal data file by creating a multi-choice 0/1 Knapsack problem to reduce number of transfers between tiers for data allocation.
Although Bloom filter is used to reduce number of unnecessary disk reads when reading data from Cassandra, the latency when reading data from multiple SSTable is still relative high when data grow and the bloom filter has false positive.
Reduced numbers because of missing data are indicated by superscript c (c), where n = 10, and superscript d (d), where n = 11.
Using 10 microarray data sets, we first reduced the number of data sources relevant for multiple cancer types and outcomes.
Technical difficulties in the biochemical analyses further reduced the number of data for some measures.
More stringent threshold values for missing rates per SNP reduced the number of data points that deviated from expectation.
This would have further reduced the number of data sets and sensitivity of meta-analyses and contributed to the lack of significant composition differences being detected.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com