Sentence examples for approach we devised from inspiring English sources

The quantitative proteomics approach we devised for the identification of VHL substrates will be widely applicable to other ubiquitin ligases.

The quantitative proteomics approach we devised for the identification of VHL substrates (Figure 1) will be widely applicable to other ubiquitin ligases.

With respect to the methodology, besides characterizing the genome-wide intron Alu density using a mixture model and analyzing the effects of 5'-TTAAAA on the Alu integration through a two-step regression approach, we devised the use of Alu pairs and Alu-exon- Alu triplets as additional means of targeting those sets of Alus that are most likely to contribute to genetic instability within genes.

Then, based on least square (LS) approach, we devise the waveform accounting for constant modulus and similarity constraints by the obtained waveform covariance matrix using cyclic algorithm (CA).

Since we do not employ this residual coding approach, we have devised an alternative scalability scheme that works in conjunction with our conversion-based method and allows for variable bit rate during transmission of the enhancement parameters.

The approach we have devised to investigate the optical properties of interfaces involves increasing their concentration by mechanical compaction of the nanopowder.

While many questions remain open concerning the inference of general duplication rules from this modeling approach, we have devised a simple model as proof of principle that the observed ordered behavior can be reproduced as the equilibrium state.

Therefore, we devised approaches to mark the secondary neurons in a hemilineage and then track them through metamorphosis to assess their form and function in the adult.

Given the complexity of independently modeling 56 IFs, we devised an approach to capture the major impacts of returning these findings while providing a tractable and useful policy model.

We devised an approach to evaluate consistency over time as a proxy for repeatability in a 2D domain and applied it to a dataset of fibre diameter (FD) and staple length (SL) measurements.

Demonstrating an approach to solving this problem, we devised a machine learning algorithm based on microbiome and clinical data that accurately predicts personalized blood glucose responses to real-life, complex meals, and demonstrated that personally tailored diets based on these predictions can successfully reduce hyperglycemia.