The phrase "approach we predict" is not correct and may cause confusion in written English.
It could be used in a context where you are discussing a method or strategy that you anticipate will be effective.
Example: "In our analysis, we will outline the approach we predict will yield the best results for the project."
Alternatives: "method we anticipate" or "strategy we expect".
Using the "guilt by association" approach we predict that this protein has a role in transcription, because of its predicted interactions with several universal transcription initiation factors (TIF and TAF), and also in mRNA processing and metabolism, because of its interactions with splicing factors, P-body, and translation-initiation proteins [26].
Using a mathematical modeling approach, we predict the effectiveness of vaccines to control MD outbreaks and reduce MDV prevalence after an outbreak within a barn.
Furthermore, using our approach, we predict that SERCA1 and Tankyrase-1 (TNKS1) may be interesting targets for further characterization in HCV infection.
As an application of our approach, we predict a landscape of associations between human diseases and known protein complexes and provide free downloads of the prediction results at http://bioinfo.au.tsinghua.edu.cn/jianglab/complex.
Using a comparative genomic approach, we predict that the yjeK and yjeA genes of unknown function that physically cluster with efp gene are potential candidates of EF-P modification genes.
By this phylogenetic prediction approach, we predicted dif sequences in 578 genomes out of 592 that harbor the XerCD recombinase (Additional file 2, Table S1 for a complete listing).
Through this approach, we predicted 2,311 candidate mitochondrial proteins with 84.67% accuracy and 2.53% FPR performances.
Using this approach, we predicted that, in the lPFC, the synaptic plasticity is higher while learning an operant conditioning task than after it is learned.
Using the current approach, we predicted 14 miRNA sequences for Ciona intestinalis.
Through a computational approach, we predicted 24 miRNA genes in S. miltiorrhiza for the first time.
Using a bioinformatics approach, we predicted potential common target genes for the up-regulated (FC > 5) miRNAs in xlpra2 at 16 wks.
