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Landscape fragmentation, class abundance, the uncertainty in SPM, and the spatial resolution of the remotely sensed data influenced LPIs derived from sub-pixel maps.
By means of grid sampling, the categorical patches were represented by grid densities, and spatial indicators of class abundance, scale-area curve and neighborhood density were constructed to measure the spatial variables of area, distance and scale.
The class abundance (0.90,0.05,0.05) roughly matched the abundance observed in the analysis of real GM12878 data.
This analysis implemented the statistical test of GO class abundance described above, using a significance threshold with a q-value ≤ 0.05 [ 85].
Organize the probability vectors V k and W k from different classes into two matrices V K × D = (V 1 T, ⋯, V K T ) T and W K × D = (W 1 T, ⋯, W K T ) T. V, W, and the probability vector Π that describes the class abundance are the unknown model parameters.
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Predicted gene class abundances were analyzed at KEGG (Kyoto Encyclopedia of Genes and Genomes) Orthology group level 3.
After decades of hard work and struggle, hundreds of millions stand on the brink of middle-class abundance.
Evaluations of function were performed for 3 different classes of abundance including: abundant (represented by more than 500 tags), intermediate (499 to 100 tags) and less abundant (lower than 100 tags).
A total of 14 abundant classes (relative abundance > 1%) were identified (Table 4).
"There is class in abundance with New Zealand's Barrett and Coles, England's Vunipola, Itoje and Farrell and Ireland's Heaslip.
The effect of protected area size/age class on abundance and endemicity also varied among taxonomic groups (χ2=25.38, df=8, P=0.001; χ2=16.64, df=8, P=0.034, respectively, Supplementary Fig. 4), with higher invertebrate abundance, vertebrate abundance and plant endemicity in samples from larger, older protected areas.
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