The algorithm for this embedding is presented in Algorithm 1.Text encoded in this fashion generated a sparsely populated matrix, as seen by our visualizations of 1-of-m embedding in Fig. 1a, b.
Most SMG neurons generated signals sparsely at 24 and 48 hours post inoculation into the salivary glands, consistent with previous published data that spontaneous firing is rarely observed from these cells [35].
Analysis of the number of calcium events at each time point revealed a change in event frequency as time after infection increased: At 24 and 48 h.p.i., the majority of infected neurons generated events sparsely, but by 72 h.p.i., more cells were active and at higher rates (example in Figure 3B).
The values chosen for this study (120 diffusion measurements at b = 4000 s/mm) meet or exceed recommendations for optimal ex vivo diffusion imaging (Dyrby et al. 2011; Tournier et al. 2013), so it is reasonable to assume that similar results could be generated from a more sparsely sampled, and therefore faster to acquire dataset.
Importantly, ImgLib2 supports concepts beyond the conventional pixel image, e.g. infinite, procedurally generated images or continuous images interpolated from sparsely sampled data.
The region exposed to the hazardous levels of air pollution generated by the fire was largely rural, sparsely populated, and economically disadvantaged.
The strategy of generating a sparsely labeled sampling of a single neuronal type – what we refer to here as an atlas of morphologies - is illustrated here for cholinergic and catecholaminergic neurons.
Despite these being relatively large sequencing efforts at the time, we were still only able to generate a sparsely populated framework map of 538 cM with QTL spanning 5 to 10 cM.
That may be because bears in more sparsely populated areas are less accustomed to people or because television shows and wildlife tours have "generated in people a desire to get close to dangerous things," said Barry Lopez, an author of books on wildlife.
Synthetically generated data reveals that the proposed Bayesian GO term assignment provides more accurate results for sparsely populated GO terms and in situations where expression data analysis has large uncertainty about gene activity.
