Exact(3)
A new kernel manifold algorithm is designed to match an ideal distribution with a complex one in natural data.
Simulation studies are useful for many reasons but cannot account for 100% of the heterogeneity in natural data.
Optimistically, in natural data each case has one or more rare-variants in addition to the natural background variation (which would also be present in controls).
Similar(57)
Conventional machine learning techniques were limited in processing natural data in their raw form [1, 2].
A chi-square test indicates that biotic traits are over-represented in the natural data set, but under-represented in the laboratory data set (p < 2.2e-16 2.2e-16ect size and p = 0.004382 for effect direction).
In searching for any repeat pair as long as or longer than those observed in the natural data, we found such repeat pairs of any sequence to to be enormously common.
We examined potential conflicts in phylogenetic signal between natural data subdivisions by comparing them to spectral partitions.
For scientists in natural science, data visualization is an important basic tool for their researches.
Thiskitty entered the house/*The kitty entered on topaperthe table.
However, given the difficulties for carrying out dam construction in natural habitats, data about their effectiveness in incipient invading populations are practically nonexistent.
The production of antibiotics to inhibit competitors and resistance to antibiotic inhibition are two traits hypothesized to be critical to microbial fitness in natural habitats, yet data on costs or tradeoffs associated with these traits are limited.
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