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The predictions indicate that flow distribution and current production are affected significantly by each other.
These predictions indicate that variant distribution of martensitic blocks can be optimized to mitigate and potentially inhibit material failure.
Bioinformatic predictions indicate that miRNAs regulate >30% of protein-coding genes (Filipowicz et al, 2008).
Bioinformatic predictions indicate that miRNAs regulate >30% of the protein coding genes (Filipowicz et al, 2008).
Bioinformatic predictions indicate that miRNAs regulate >30% of protein-coding genes (Lewis et al, 2005).
Bioinformatic predictions indicate that miRNAs regulate >60% of the protein-coding genes in the human genome.
Bioinformatic predictions indicate that miRNAs regulate >30 60% of the protein-coding genes in the human genome.
Bioinformatic predictions indicate that miRNAs regulate >30% of the protein-coding genes in the human genome (Lewis et al, 2005).
Discrepancies between experimental results and model predictions indicate that important species or interactions may be missing from the model.
ORF predictions indicate that an additional 97% of the non-annotated sequences had a predicted open reading frame of at least 30 bp, which suggests that these were transcribed from protein-coding genes.
We are already at about 40%to42%2%, and the latest predictions indicate that it will reach the threshold very shortly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com