Sentence examples for joint inference from inspiring English sources

We demonstrated how the joint inference procedure of inferring copy number calls, cluster assignments and profiles, coupled with adaptive feature selection, makes HMM-Mix significantly more accurate than partitioning and hierarchical clustering methods.

Thus, the joint inference made by the L1/ L2 penalty enables us to infer association between a causal SNP and the phenotype by borrowing strength across populations and setting the corresponding regression coefficients jointly to non-zero values.

Joint inference of haplotypes is expected to increase accuracy of haplotypes inferred for the three populations.

A joint inference strategy employed in scheme IV calibrates the hydrological and AR models simultaneously.

Parameter joint inference and model selection are performed under the Bayesian paradigm.

They focus on inference of social influence from topic distributions or joint inference of influence diffusion and topic distributions.

This method uses coalescent theory to provide joint inferences of a species tree topology, divergence times, population sizes and gene trees from multiple genes sampled from multiple individuals across a set of closely related species.

This method employs substitution models used in traditional phylogenetics, but also uses coalescent theory to provide joint inferences of a species tree topology, divergence times, population sizes, and gene trees from multiple genes sampled from multiple individuals across a set of closely related species [ 46].

A second reason is that we lack a principled, integrated system that allows us to perform a joint evolutionary inference of homologous recombination, along with inference of the substitution process and patterns of genomic gain and loss (nonhomologous recombination).

We note that we used Poisson FuseNet to infer network from RNA-sequencing data, multinomial FuseNet to infer network from somatic mutation data and collective FuseNet for joint network inference from RNA-sequencing and mutation data.

Here we demonstrate how multiple data sources can be combined to make joint statistical inference of TF target gene.