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A Novel Method for Building Regression Tree Models for QSAR Based on Artificial Ant Colony Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Classification and regression trees
inferredcites →https://doi.org/10.1021/jm00004a017openalex-snapshot
Prediction of Receptor Properties and Binding Affinity of Ligands to Benzodiazepine/GABAA Receptors Using Artificial Neural Networks
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Structure-activity relationships of antifilarial antimycin analogs: a multivariate pattern recognition study
inferredcites →https://doi.org/10.1021/jm00163a024openalex-snapshot
Synthesis and structure-activity relationships of new 7-[3-(fluoromethyl)piperazinyl]- and -(fluorohomopiperazinyl)quinolone antibacterials
inferredcites →https://doi.org/10.1109/4235.585892openalex-snapshot
Ant colony system: a cooperative learning approach to the traveling salesman problem
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Novel algorithm to select basis functions in spline regression: applications in quantitative structure–activity relationship studies
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Mutagenicity of Aromatic and Heteroaromatic Amines and Related Compounds: A QSAR Investigation
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Time‐Series QSAR Analysis of Human Plasma Protein Binding Data
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Feature Selection for Classification Using an Ant System Approach
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Ant Colony Optimization in Data Mining: Critical Perspective from 2015 to 2020
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Quantitative Structure-Property Relationship (QSPR) Modeling Applications in Formulation Development
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Considerations and recent advances in QSAR models for cytochrome P450-mediated drug metabolism prediction
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Drug Design with Artificial Intelligence Methods
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An efficient variable selection method based on the use of external memory in ant colony optimization. Application to QSAR/QSPR studies
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Building optimal regression tree by ant colony system–genetic algorithm: Application to modeling of melting points
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Inducing decision trees with an ant colony optimization algorithm
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In silico ADME modelling 2: Computational models to predict human serum albumin binding affinity using ant colony systems
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Application of genetic stochastic resonance algorithm to quantitative structure–activity relationship study
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Integrated method of compromise-based ant colony algorithm and rough set theory and its application in toxicity mechanism classification
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Chemometrics tools in QSAR/QSPR studies: A historical perspective
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Supervised pattern recognition in food analysis
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Hybrid genetic algorithm-decision tree approach for rate constant prediction using structures of reactants and solvent for Diels-Alder reaction
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Optimization algorithms and natural computing in drug discovery
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A method for quantifying and visualizing the diversity of QSAR models
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Group-based QSAR and molecular dynamics mechanistic analysis revealing the mode of action of novel piperidinone derived protein–protein inhibitors of p53-MDM2
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Mutagenicity of aminoazo dyes and their reductive-cleavage metabolites: a QSAR/QPAR investigation
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Cross-validation as the objective function for variable-selection techniques
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Applying genetic algorithms and neural networks to chemometric problems
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(Q) SAR study on the metabolic stability of steroidal androgens
inferred← citeshttps://doi.org/10.1016/s1367-5931(00)00219-2openalex-snapshot
Visual and computational analysis of structure–activity relationships in high-throughput screening data
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On Combining Recursive Partitioning and Simulated Annealing To Detect Groups of Biologically Active Compounds
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Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models
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On the Use of Neural Network Ensembles in QSAR and QSPR
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Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression
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Spline-Fitting with a Genetic Algorithm: A Method for Developing Classification Structure−Activity Relationships
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Induction of Decision Trees via Evolutionary Programming
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A Robust Boosting Regression Tree with Applications in Quantitative Structure−Activity Relationship Studies of Organic Compounds
inferred← citeshttps://doi.org/10.1021/ci200186mopenalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ci800374hopenalex-snapshot
Modified Particle Swarm Optimization Algorithm for Adaptively Configuring Globally Optimal Classification and Regression Trees
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Descriptor Selection Methods in Quantitative Structure–Activity Relationship Studies: A Review Study
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Feature Selection for Structure−Activity Correlation Using Binary Particle Swarms
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Variable selection for QSAR by artificial ant colony systems
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A modified binary particle swarm optimization with a machine learning algorithm and molecular docking for QSAR modelling of cholinesterase inhibitors
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A late-binding, distributed, NoSQL warehouse for integrating patient data from clinical trials
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A QSAR Model of hERG Binding Using a Large, Diverse, and Internally Consistent Training Set
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VARIABLE SELECTION IN NONLINEAR MODELING BASED ON RBF NETWORKS AND EVOLUTIONARY COMPUTATION
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Building efficient fuzzy regression trees for large scale and high dimensional problems
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The research of semi-supervised manifold learning algorithm based on markov property
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Accurate prediction of clinical stroke scales and improved biomarkers of motor impairment from robotic measurements
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Advances in computational methods to predict the biological activity of compounds
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Structure-activity relationship approaches and applications
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An Introduction to the Basic Concepts in QSAR-Aided Drug Design
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An Introduction to the Basic Concepts in QSAR-Aided Drug Design
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"In silico" prediction of drug transport across physiological barriers
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