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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).
Methods: Using a decision-analytic approach, we predicted outcomes, measured in lives, quality adjusted life years (QALYs), and costs, for a series of simulated bioterrorist attacks.
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.
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Through this approach, we predict 16 concepts to apply the framework to.
Using this unsupervised approach, we predict tissue-specific functional effects for every position in the human genome in 127 different tissues and cell types.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com