For comparison purpose, we used the dataset presented in [ 11].
This method is suitable for datasets where the axons are somewhat distinguishable in the MIP image and is also unsuitable for use in the datasets presented in this article.
> -wrap-foot> Using the same samples from the datasets presented in the previous section, we can observe that despite the fact that not all known precursors are grouped together in the same cluster by LocARNA at any k-level (data not shown), they are however significantly close and restricted to a limited portion of the feature space.
The potential uses of the dataset presented here include morphometric or volumetric analyses of internal organs, studies of ingested sediment particles, the possibility of online collaborative dataset annotation, or interactive data exploration using digital 2D and 3D visualization tools.
In contrast to normal parametric methods, the bootstrap method used had the advantage of analyzing the dataset presented here, regardless of skewed distributions of all outcome variables and low sample size.
To evaluate our approach, we use the QUWI dataset presented earlier in this paper.
Model validation using hold out datasets, presented in detail in the accompanying technical appendix, suggests a very high degree of correlation at the school level between the observed and expected mean Hb levels (R>0.98) and the prevalence of anaemia (R>0.95), suggesting that the approach we used to estimate anaemia prevalence (and associated attributable fractions) was appropriate.
We did explore combining similarity scores using a different multiplicative model which we found to significantly under-perform (in combination with the NN classifier) when used on datasets presented in this study.
Very limited analysis was dedicated to the later stages of the healing process [ 2], an open arena that can further be investigated using the presented dataset.
How these cells' dynamics differ from less-coordinated cells remains an open question that may help understand intercellular coordination and can be addressed using the presented dataset.
