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We use bottleneck nodes to survey independent regulation because it has been shown that bottleneck nodes are regulated in a condition-dependent manner in biological networks [ 24].
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In this paper, we presented two robust distant-talking speaker identification methods based on DNNs and using bottleneck and DAE features, respectively.
First, we used BOTTLENECK [32] implemented by Cornuet and Luikart [33].
First, heterozygosity excess was tested using BOTTLENECK v.1.2.02 [ 40].
Results of bottleneck tests using bottleneck and M-ratio using 90% single-step mutations.
Finally, evidence of a recent bottleneck for each population was tested using BOTTLENECK 1.1 [ 47].
Multi-partners workshop was conducted to identify barriers and possible mutual solutions (using bottleneck analysis framework).
We tested for recent population bottlenecks in the three finless porpoise populations using BOTTLENECK v1.2.02 program (Piry et al. 1999).
We estimated the deviation of gene diversity from mutation-drift equilibrium at the local scale, using BOTTLENECK 1.2.02 [ 43].
Considering the locus limitations in data analysis using BOTTLENECK, particularly 40 UGMS loci having detected PIC ≥ 3.0 were selected.
We tested for recent population constrictions using Bottleneck 2.2 [ 33]. Isolation by distance tests were performed where possible using IBD v 1.52 [ 34].
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