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The OPERA suite of prediction models was initially developed based on curated data from the public version of the PHYSPROP database.
Therefore, the term emphysema models was initially preferred, based on the final result of a morphometry that would produce the characteristics of one or other type of emphysema.
A draft proposal of a SBML package to encode qualitative models was initially proposed in 2008.
The common up-regulation of a large megacluster of miRNAs from the Dlk1-Dio3 locus in all three of our liver tumor models was initially surprising to us.
A comprehensive collection of mouse models was initially compiled from a search of the scientific literature using the PubMed database at NCBI http://www.ncbi.nlm.nih.gov/pubmed with the following keywords: gene symbol and aliases, mouse/mice, and knock-out/knock-in/transgenic.
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Prediction models were initially generated using ANNE and RF.
In the 1980s, some deterministic toxicant-population models were initially proposed by Hallam [16, 17].
The bidirectional associative memory (BAM) neural network models were initially coined by Kosko, see [1, 2].
Stochastic Frontier Analysis SFAA) models were initially introduced by Aigner, Lovell and Schmidt (1977) and Meeusen and Broeck (1977).
Nevertheless, these models are initially conceived for wired network topologies, and based on the static network.
Adaptive learning models are initially trained to correlate operating parameters or product composition with performance.
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