In particular, we conclude that samples produced by our method contain a much narrower distribution of tube diameters than does the commercial sample.
As shown in Figure 9(a) and 9(b), the modules identified by our method contain significantly more enriched GO terms than that identified by k-means, and GO terms are enriched in more modules in our method than in k-means.
The subnetwork 2 identified by our method contains the genes PLK1, BCL2, BNIPL, and tumor suppressor p53 binding protein TP53BP2.
Overall, 631 unique TF-target gene interactions have been identified using our method, containing 5971 genes regulated by those 30 transcription factors.
Although made with different methods, all graphene products made by these methods contain large amounts of defects and oxygen-bearing groups.
The ontologies created by these methods contain roughly 3× as many terms as the true ontology.
Therefore, we suspect that the results of different researches are hardly comparable, for example, dust samples collected by filter methods contain smaller dust particles than those obtained from vacuum cleaner bags (Bornehag et al. 2005).
Additionally, we suspect that dust samples collected by filter methods contain smaller dust particles than those obtained from vacuum cleaner bags; for semivolatile organic compounds associated with the dust via sorption processes, this would mean higher dust concentrations for filter samples compared with samples from vacuum cleaner bags.
We distinguish between the three homologs of each colour by using dark, medium and light shades of each, ordered according to the number of genes detected in each by our methods, with the darkest containing the most genes.
The missed elements by our method may not contain any LTR.
