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There are other studies and models available in technical literature targeted to predict injectivity decline from particulate mechanics and flow transport.
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Such theories target to predict a variable in the future, given a set of explanatory variables or predictors.
A Memory-based Particle Filter (M-PF) proposed by Mikami [18] introduced a paradigm called memory-based prior prediction which used the prior data of a target to predict prior distribution.
Understanding the stress response mechanism could provide a new biotechnology and engineering target to predict and control infection risks and facilitate the application of bioaerosol techniques to other fields [e.g. cloud condensation and climate change (Sun and Ariya 2006)].
Future psychopharmacological interventions will aim at identifying targets to predict distal outcomes.
We calculated a Targetability Index (TI), the ratio of predicted therapeutic targets to predicted candidate genes.
We used psRNA Target software to predict putative target genes of novel and conserved miRNAs.
We used this flexibility to relax the constraints placed on a miRNA-target interaction to predict and validate miRNAs targeting tramtrack.
This is a unique drug repurposing approach for TB that uses molecular function correlations among known drug-target pairs to predict novel drug-target interactions.
The first step was to conduct sequence analysis that used sequence complementarities of the miRNA and its target sites to predict potential miRNA target genes.
The first step was to conduct sequence analysis that used sequence complementarities of miRNA and its target site to predict potential miRNA target genes.
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