Sentence examples for principled inference from inspiring English sources
Most importantly, the proposed methods can make principled inference from multiple data sources that can include, among others, multiple motif models, evolutionary conservation, regulatory potential, CpG islands, nucleosome positioning, DNase hypersensitive sites and ChIP-chip.
Foundations of principled inference from data, primarily in the Bayesian framework, organized around applications in astrophysics and cosmology.
Although some false predictions may be due to under-sampled alleles, most can be attributed to detectable artefacts that we argue can be leveraged in principled inference techniques to improve computational predictions.
Our goal here is to make principled probabilistic inference from these numbers and to output a single probability of binding for the promoter as a whole (i.e., transcriptional regulation).
We are currently developing Bayesian learning methods for transcriptional regulatory networks that can make principled statistical inference from diverse sets of data sources, such as the ones already discussed in this work and other functional data.
Most importantly, the proposed methods can make principled probabilistic inference from multiple evidence sources, such as, multiple statistical models (motifs) of the TFs, evolutionary conservation, regulatory potential, CpG islands, nucleosome positioning, DNase hypersensitive sites, ChIP-chip binding segments and other (prior) sequence-based biological knowledge.
Our results also indicate that Bayesian network is particularly suitable for modeling cellular signal transduction in that principled statistical inference algorithms, e.g., the belief propagation algorithm, enabled us to represent hidden variables (nodes without observations) in the graph and to infer detailed signal transduction in the pathway.
On the other hand, decoding models provide a path to principled reverse inferences [ 27].
Much interest has focused recently on the development of principled methods for combining information from multiple nearby methylation sites to aid biological inference [ 4, 5].
Strong, detailed, clear, principled.
