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A false positive prediction indicates that a viable phenotype is incorrectly predicted by the metabolic model when a metabolic reaction (and by association, its corresponding gene) is deleted.
The limited length in time with an accuracy prediction indicates that the system is chaotic.
This prediction indicates that the raccoon has a potential to become one of the most numerous mammals in northern Iran.
Their prediction indicates that there will be a decreasing trend in the next 40 years, especially after 2030.
The theoretical prediction indicates that the surrounding fluid of the higher density induces the larger effective mass for the vibration that results in lower resonant frequency.
This unrealistic prediction indicates that the DPL model, in its exact form, does not provide a general description of the heat conduction phenomena for all time scales as had been previously proposed.
Similar(29)
FTIR prediction indicated the presence of possible polyphenol and protein encapsulates on the AgNPs.
Cis-element prediction indicated the presence of ABRE and other abiotic-stress-related elements.
NetPhos prediction indicated that most probable TRP47 phosphorylated residues were Y44 (peptide 41 49) and S159 and/or S161 (peptide 147 163).
The structural prediction indicated a random coil conformation.
False positives in gene prediction indicate that our knowledge of coding regions is still limited.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com