Search alternatives:
method optimization » lead optimization (Expand Search), path optimization (Expand Search), feature optimization (Expand Search)
small optimization » swarm optimization (Expand Search), whale optimization (Expand Search), spatial optimization (Expand Search)
based method » based methods (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
based small » based smart (Expand Search), based sample (Expand Search)
method optimization » lead optimization (Expand Search), path optimization (Expand Search), feature optimization (Expand Search)
small optimization » swarm optimization (Expand Search), whale optimization (Expand Search), spatial optimization (Expand Search)
based method » based methods (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
based small » based smart (Expand Search), based sample (Expand Search)
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Stochastic simulation and statistical inference platform for visualization and estimation of transcriptional kinetics
Published 2020“…To approach the inverse problem of estimating the kinetic parameters of the model from experimental data, we develop a heuristic optimization method based on the genetic algorithm and the empirical distribution of mRNA generated by simulation. …”
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Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures
Published 2023Subjects: -
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Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures
Published 2023Subjects: -
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Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures
Published 2023Subjects: -
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Datasets and their properties.
Published 2023“…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …”
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Parameter settings.
Published 2023“…In addition, we designed nested transfer (NT) functions and investigated the influence of the function on the level-1 optimizer. The binary Ebola optimization search algorithm (BEOSA) is applied for the level-1 mutation, while the simulated annealing (SA) and firefly (FFA) algorithms are investigated for the level-2 optimizer. …”
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