Sentence examples for inference achieved by from inspiring English sources

Our large-scale benchmark comparisons show strong improvements in the accuracy of the protein function inference achieved by our new methods, demonstrating that domain recurrence and order can provide important information for inference of protein functions.

The fuzzy inference is achieved by the Min and Max operations.

Inference is achieved by formulating an appropriate MCMC algorithm that samples from (Gamerman and Lopes, 2006).

Inter-species sequence conservation inference is achieved by performing an all-against-all search over all the peptide sequences of all the species of an order (as given by organismal taxonomy of RefSeq), considering a sequence identity and coverage of >50% each.

The joint inference is achieved by using a multi-population group lasso (MPGL), with an L1/ L2 regression penalty (Obozinski et al., 2008; Yuan and Lin, 2006; Zhao et al., 2008) that encourages (but does not enforce) multiple populations to have similar causal markers.

Sophisticated multi-locus coalescent inference can be achieved by allocating a separate overall rate and substitution process for each locus, thereby accommodating loci with heterogeneous evolutionary processes.

This technique is anticipated to accomplish enhanced accuracy and more specific inferences than could be achieved by the use of a single sensor alone.

More accurate functional inference of proteins can be achieved by integrating these heterogeneous sources of genomic and proteomic data [ 5, 6].

Posing the problem of inference in terms of an optimization problem allows us to draw on powerful tools in convex optimization and plays an important role in the gain in speed achieved by variational inference schemes, when compared to the Gibbs sampling scheme used in STRUCTURE.

The study's strengths include a rigorous study design with a random sample from a cross-sectional population-based study in fatiguing illness, which allows for a more generalizable inference of what can be achieved by identifying barriers to healthcare utilization and ways to eliminate or reduce barriers.

The "borrowing strength" of HABC is achieved by making inferences across groups (i.e. co-distributed taxa) by pooling information across the groups without assuming the groups are from the same population [ 39, 40].