Sentence examples for combined conditional from inspiring English sources

In this study, we combined conditional gene deletion in vivo with time course gene expression analysis to dissect the transcriptional hierarchies.

The fixed variables (marginal r) explained only 14% of the variation, but the fixed and random variables combined (conditional r) explained 55% of the total variation, indicating large variation in response to grazing among studies.

As a sensitivity analysis we also fitted a combined conditional logistic regression model using data from the 57 matched case referent sets with at least one matched referent (i.e., a total of 57 cases and 89 referents).

Moreover, they combined conditional random fields (CRF) with a cost-sensitive framework for segmenting the lesion and found that this method improved cost-sensitive SVM results by incorporating spatial information.

The model accuracy in predicting mutant growth phenotypes increased from 88%to94%4% on succinate-supplemented minimal medium and from 93%to94%4% for the combined conditional gene essentiality results on 8 media.

In contrast to individual conditional deletions of Hdac1 or Hdac2, which mostly do not evoke strong phenotypes, the combined conditional loss of HDAC1 and HDAC2 results in dramatic defects in proliferation, differentiation, survival and transcriptional regulation in most cell types and tissues.

Based on it conditional behaviors can be efficiently scheduled combining conditional resource sharing (CSR), speculative execution (SE) and other formal graph transformations.

A highly versatile technique has been developed in mouse: MASTR (mosaic mutant analysis with spatial and temporal control of recombination), which utilizes the increasing number of floxed alleles and simultaneously combines conditional gene mutagenesis and cell marking for fate analysis.

Performance of continuous time Bayesian network classifiers learned when combining conditional log-likelihood scoring and Bayesian parameter estimation are compared with that achieved by continuous time Bayesian network classifiers when learning is based on marginal log-likelihood scoring and to that achieved by dynamic Bayesian network classifiers.

Here we combine conditional gene knockout and over-expression analyses to investigate the role of Dlk1 in mouse muscle development, regeneration and myogenic stem cells (satellite cells).

We proposed novel methods which combine conditional random fields with the domain-based model of protein-protein interactions.