Exact(3)
From the computational results, the inferred TFA dynamics are almost identical despite variations in data sizes for cytokinesis-related genes.
The advances in high-throughput sequencing technologies and growth in data sizes has highlighted the need for scalable tools to perform quality assurance testing.
The uneven data size raises a question that whether the bias toward negatively correlated miRNA-mRNA for TargetBase predictions can be attributed to the algorithm design or simply to the differences in data sizes.
Similar(57)
Results using this algorithm are markedly more accurate and significantly faster (linear in data size) than previous approaches.
The intensive development of information and communication technologies in recent years has led to an increase in data size and complexity.
Increases in data size make the multilevel hierarchy approach incapable in data scalability.
This can lead to an increase in sensing speed, a decrease in data size, and dose reduction in the case of electron microscopy [13].
We hypothesized that the loss of significance may be due to differences in data size (there is a ∼75% reduction in the number of SNPs from HapMap to Perlegen).
For this analysis, coverage values were normalized to account for differences in data size per sample.
However, more discretization levels also require an increase in data size in order to identify all the necessary parameters of the corresponding multinomial conditional probability distributions.
However, with pooled DNA there are fewer observations to fit and it remains to be seen whether this reduction in data size will compensate for the increase in computational complexity.
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