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While compositional methods may predict certain HGT that would be overlooked by phylogenetic methods (e.g. between bacteria of the same phylum), the use of our phylogenetic approach has permitted detection of instances of HGT where the genomic signature is unremarkable based on compositional considerations, such as more ancestral events.
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This research avenue will undoubtedly help us to reconstruct the mechanistic components of metabolic interaction and cell cell interaction within microbial ecosystems, and may help to predict certain emergent properties of these systems.
For example, one may predict that certain signal cascade architectures dissipate information more strongly and lead to double logarithmic scaling and loss of sensitivity at certain input levels.
Questions concerning the underlying mechanism or the hypothesis that a toxic end product may predict survival under certain circumstances cannot be answered from this descriptive study.
With the aim of revealing candidate signaling networks that may predict outcome to certain CT/RT regimens, gene and miRNA expression profiling, DNA sequencing of LC genomes and different proteomic approaches have all been applied, hence allowing a tailored approach with old CT drugs to patients who will benefit the most.
There are reasons to believe that a more accurate relationship between self-efficacy and performance is curvilinear (i.e., that some self-doubt of self-efficacy may predict optimal effort) under certain circumstances.
Some previous studies provided evidence that genetic polymorphisms of certain genes may predict the HCC occurrence in hepatitis virus infection [ 26– 29].
An idea in the science of medicine may predict that the introduction of a certain vaccine will prevent the onset of future maladies of a definite sort.
Here we assessed whether the levels of certain stem cells may predict the progression of Duchenne muscular dystrophy (DMD).
For certain families, pDomTHREADER may predict multiple SCOP superfamilies for the same domain region.
We hypothesised that certain haematological factors may predict a worse outcome in these patients requiring admission to the ICU.
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CEO of Professional Science Editing for Scientists @ prosciediting.com