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The clustering of expression datasets seems to be independent from muscle type or microarray platforms, but rather influenced from the type of stimulus inducing atrophy.
The relationship of these immunological metagenes with other parameters of the tumors in the combined datasets seems to be complex since no simple associations were found.
Reduction of the consensus mapping problem to single-dataset mutilocus ordering using the synthetic distance matrix constructed from all datasets seems to be the simplest possible approach to the problem.
These analyses also shows that the high amount of missing data (as typical for EST-based datasets), seems to have no influence regarding the phylogenetic position of the myzostomids.
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Since this process generated only 1,054 hybrid clusters, we can assume that, at nucleotide level, the two mussel datasets seem to be very different.
Nevertheless, the best performing methods across the 36 experimental datasets including the 21 datasets seem to be independent of the originally analyzed methods, by virtue of WAD's high performance.
As shown in Figure 1, despite some differences, all the datasets seem to be highly similar, strictly comparable and not grouped according to the mentioned possible sources of variability.
North of 58° the latitudinal increase in species richness apparent in the NSBS dataset seems to level off [76].
Actually, the dataset seems to be only suitable to assess animal and fungal protein diversity.
However, the final dataset seems to be consistent with a χ1-distribution.
Nevertheless, the network topologies, according to the percolation threshold, reveal an intermediary state between BC_ F_ves and BC_ F_spi_F_ves datasets where the natural dataset seems to fit in.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com