Search alternatives:
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
cell optimization » field optimization (Expand Search), lead optimization (Expand Search), cost optimization (Expand Search)
binary base » binary mask (Expand Search), ciliary base (Expand Search), binary image (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
cell optimization » field optimization (Expand Search), lead optimization (Expand Search), cost optimization (Expand Search)
binary base » binary mask (Expand Search), ciliary base (Expand Search), binary image (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
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Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction
Published 2019“…<div><p>The prediction of cell-lines sensitivity to a given set of compounds is a very important factor in the optimization of in-vitro assays. …”
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
Published 2020“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
Published 2020“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach
Published 2020“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”
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Predicting patient drug response from cell-line methylation profiles for Temozolomide (n = 85).
Published 2021Subjects: -
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Classification results for all subsampling scenarios and algorithms for Gefitinib.
Published 2021Subjects: -
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Regression results for all combinations of subsampling scenarios and algorithms for Gefitinib.
Published 2021Subjects: -
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Average RMSE rank for all combinations of subsampling scenarios and algorithms.
Published 2021Subjects: -
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Algorithm for generating hyperparameter.
Published 2024“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”
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