Sentence examples for applications to infer from inspiring English sources

The proteins that participate in these systems are highly conserved, enabling many successful applications to infer gene function based on sequence similarity across species [ 1].

The complications emerging from the interplay of mutational biases, BGC, and weak functional selection thus also affect practical applications to infer sequence conservation from multiple sequence alignments, as exemplified here for the tool GERP.

Apart from classic molecular systematic applications to infer taxon phylogenies, the trend is obvious to approach molecular and biodiversity assessment at different levels in various communities, at intraspecific level and in environmental samples, including systematic studies of bacterial and viral pathogenic agents.

A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.

Gao, P., Honkela, A., Rattray, M. & Lawrence, N. D. Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities.

Scheet, P. & Stephens, M. A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.

Because Kamel et al. (2005) relied on self-reported days of application to infer exposure rather than actual measured dose, their assumption of sufficient exposure to cause a biologic effect has severe limitations.

A significance level is then obtained based on the maximal log-likelihood ratio at each application to infer the presence or absence of a QTL (see ref. [ 25] for more details).

In its application to infer immunogenetic health, populations with high MHC diversity may be better able to adapt to future pathogenic challenges as the chance of resistance alleles being present is greater [ 19], thus with decreased potential extinction risk relative to less-diverse populations.

We have developed algorithms for the problem of inferring tumor-specific mutation parameters and applying these to improve single-tumor phylogenetic tree inference at the cellular level, with specific application to inferring multiscale copy number evolution from single-cell FISH data.

In addition to the two in silico studies where the reconstruction results can be evaluated by a perfect gold standard, we used our framework in a realistic application scenario to infer gene interactions in yeast Saccharomyces cerevisiae based on a library of gene expression data measured in mutants with single knockouts of transcription factors.