Sentence examples for this dataset compares from inspiring English sources
Overall, this dataset compares favourably with studies that have utilized all available sleep data (r = 0.42), and a previous analysis of ours that had used alternate restrictions to control data quality (r = 0.71 [ 4]).
Before we move on, we highlight two advantages of using this dataset, compared to surveys which collect data at lower (i.e. yearly or longer) frequencies.
In this dataset, comparing with GIST which is designed for scene classification, DTCTH increases the performance over 18 and 20% by considering linear and HI kernel respectively.
The results of ROC area of all the compared methods on the DOVES dataset are presented in the fourth column of Table 2. Method MR shows the highest ROC area (0.7375) on this dataset compared to the previous methods.
Interestingly, 17 of the fauna names used in the present study appear in this dataset compared to eight flora names.
Importantly, INTREPID has an average running time of 25.7 s on this dataset compared to Rate4Site which requires 2 h and 52 min on average.
This analysis indicated that 50 GO functional terms were over-represented in this dataset compared to all of the gene families (many + few pHap families) again indicating that the functional classes were not randomly distributed in the two groups.
If the truly novel aspect of this dataset (compared to Nagano et al. 2012) is the drought/non-drought comparison then could the paper focus much more on this comparison?
It can be observed that the major switch in the expression profiles occurs between Day 1 and Day 2. The CisTransMine algorithm was run on this dataset comparing expression profiles between different time points.
As explained before, the novel aspects of this dataset compared to Nagano et al. is that we are assessing the integration of multiple environmental signals (including drought) and the effect of different types of environmental context.
The TMM normalization method appeared to introduce greater variation into this RNA-seq dataset compared to the pre-normalized data (Additional file 12).
