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Analysis of TCGA datasets demonstrated a significant negative correlation between TGFBR2 and VEGF genes expression.
The concatenated and single gene datasets also yielded largely congruent tree topologies (see Additional files 2, 3 and 4 for individual gene trees), although all individual datasets demonstrated a significantly worse fit to the data when compared to the concatenated dataset (AU test, p = 0.008 for Cyt b, and p = 0.000 for both S7 and CO1 BI trees).
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Although the large datasets demonstrated an overall strong resolving power, the position of Zoraptera was inconsistent and generally weakly supported [ 30].
Comprehensive experiments on eleven real-world datasets and seven synthetic datasets demonstrate a clear advantage in favor of the proposed kernels.
Our analysis using multiple observed datasets demonstrates a significant weakening trend in summer rainfall during 1901 2012 over the central-east and northern regions of India, along the Ganges-Brahmaputra-Meghna basins and the Himalayan foothills, where agriculture is still largely rain-fed.
In summary, the 13 datasets demonstrate a great number of diversities in terms of characteristics.
Pathway analysis of the combined Affymetrix and Illumina datasets demonstrates a high degree of consistency between microarray platforms and between NRO and total RNA at the geneset level (Figure 3b).
We apply our algorithm to simulated and biological datasets, demonstrating a significant increase in speed with only very small loss in accuracy of expression level estimation.
Overall, these large datasets demonstrate a remarkably low level of biological variability across all 10 sample groups, in addition to illustrating the quantitative precision that can be achieved with LRE qPCR.
Consistent with recent observations based on remotely sensed albedo, the AmeriFlux dataset demonstrated a tight linear relationship between canopy albedo and foliage nitrogen concentration (for forest vegetation: albedo=0.01+0.071%N, r²=0.91; forests, grassland, and maize: albedo=0.02+0.067%N, r²=0.80).
Analysis of the copy number data from the Rembrandt dataset demonstrated a high frequency of large losses of chromosomes 1p and 19q in oligodendrogliomas, but not in astrocytomas or GBMs.
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