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Introduction of Jumping Fragments in Combination with QSARs for the Assessment of Classification in Ecotoxicology
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jps.2600840120openalex-snapshot
Atom/Fragment Contribution Method for Estimating Octanol–Water Partition Coefficients
inferredcites →https://doi.org/10.1007/bf01718702openalex-snapshot
Optimization and visualization of molecular diversity of combinatorial libraries
inferredcites →https://doi.org/10.1007/bf02986534openalex-snapshot
Toxicity testing of highly volatile chemicals with green algae
inferredcites →https://doi.org/10.1016/0048-9697(91)90210-6openalex-snapshot
QSARs for monosubstituted anilines eliciting the polar narcosis mechanism of action
inferredcites →https://doi.org/10.1016/0048-9697(91)90222-zopenalex-snapshot
The application of QSARs, extrapolation and equilibrium partitioning in aquatic effects assessment for narcotic pollutants
inferredcites →https://doi.org/10.1016/b978-044452710-3/50003-3openalex-snapshot
QSARs for regulatory purposes: the case for pesticide authorization
inferredcites →https://doi.org/10.1016/s0045-6535(00)00301-5openalex-snapshot
Prediction of the Daphnia acute toxicity from heterogeneous data
inferredcites →https://doi.org/10.1016/s0045-6535(98)00481-0openalex-snapshot
Ecotoxicological endpoints in European notification procedure impact on the classification for the aquatic environment
inferredcites →https://doi.org/10.1016/s0045-6535(98)00558-xopenalex-snapshot
Prediction of the fish acute toxicity from heterogeneous data coming from notification files
inferredcites →https://doi.org/10.1016/s0045-6535(99)00518-4openalex-snapshot
Algal growth inhibition: effect of the choice of growth rate or biomass as endpoint on the classification and labelling of new substances notified in the EU
inferredcites →https://doi.org/10.1016/s0300-483x(97)03631-7openalex-snapshot
Computational predictive programs (expert systems) in toxicology
inferredcites →https://doi.org/10.1016/s1382-6689(02)00004-2openalex-snapshot
Interspecies sensitivity in the aquatic toxicity of aromatic amines
inferredcites →https://doi.org/10.1021/ci600301topenalex-snapshot
Emerging Chemical Patterns: A New Methodology for Molecular Classification and Compound Selection
inferredcites →https://doi.org/10.1021/ci8001793openalex-snapshot
Distinguishing between Bioactive and Modeled Compound Conformations through Mining of Emerging Chemical Patterns
inferredcites →https://doi.org/10.1021/jm00012a007openalex-snapshot
Receptor Surface Models. 1. Definition and Construction
inferredcites →https://doi.org/10.1108/ir.1999.04926fae.001openalex-snapshot
Lecture Notes in Computer Science 1205
inferredcites →https://doi.org/10.1109/icdm.2001.989492openalex-snapshot
Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1111/1539-6924.00317openalex-snapshot
The European Commission's White Paper “Strategy for a Future Chemicals Policy”: A Review
inferredcites →https://doi.org/10.1145/312129.312191openalex-snapshot
Efficient mining of emerging patterns
inferredcites →https://doi.org/10.1201/9780203642627openalex-snapshot
Predicting Chemical Toxicity and Fate
inferredcites →https://doi.org/10.2174/157340608783331452openalex-snapshot
Simulation of Sequential Screening Experiments Using Emerging Chemical Patterns
inferredcites →https://doi.org/10.3109/14756360903169857openalex-snapshot
Prediction of acute toxicity in fish by using QSAR methods and chemical modes of action
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/minf.201300165openalex-snapshot
The Development of Novel Chemical Fragment‐Based Descriptors Using Frequent Common Subgraph Mining Approach and Their Application in QSAR Modeling
inferred← citeshttps://doi.org/10.1007/978-3-319-18038-0_56openalex-snapshot
Minimal Jumping Emerging Patterns: Computation and Practical Assessment
inferred← citeshttps://doi.org/10.1007/s10844-011-0168-1openalex-snapshot
Extracting and summarizing the frequent emerging graph patterns from a dataset of graphs
inferred← citeshttps://doi.org/10.1016/b978-0-443-15339-6.00003-5openalex-snapshot
Development of QSAR models as reliable computational tools for regulatory assessment of chemicals for acute toxicity
inferred← citeshttps://doi.org/10.1016/j.artint.2015.04.003openalex-snapshot
Skypattern mining: From pattern condensed representations to dynamic constraint satisfaction problems
inferred← citeshttps://doi.org/10.1016/j.tiv.2013.11.002openalex-snapshot
Exploring QSTR modeling and toxicophore mapping for identification of important molecular features contributing to the chemical toxicity in Escherichia coli
inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00198openalex-snapshot
Perspectives on Knowledge Discovery Algorithms Recently Introduced in Chemoinformatics: Rough Set Theory, Association Rule Mining, Emerging Patterns, and Formal Concept Analysis
inferred← citeshttps://doi.org/10.1021/acs.jcim.8b00450openalex-snapshot
Chemistry-Wide Association Studies (CWAS): A Novel Framework for Identifying and Interpreting Structure–Activity Relationships
inferred← citeshttps://doi.org/10.1021/acs.jmedchem.7b01890openalex-snapshot
The Pharmacophore Network: A Computational Method for Exploring Structure–Activity Relationships from a Large Chemical Data Set
inferred← citeshttps://doi.org/10.1021/ci300254wopenalex-snapshot
Automating Knowledge Discovery for Toxicity Prediction Using Jumping Emerging Pattern Mining
inferred← citeshttps://doi.org/10.1021/ci5001828openalex-snapshot
Emerging Pattern Mining To Aid Toxicological Knowledge Discovery
inferred← citeshttps://doi.org/10.1021/ci500611vopenalex-snapshot
Discovering Structural Alerts for Mutagenicity Using Stable Emerging Molecular Patterns
inferred← citeshttps://doi.org/10.1039/c4tx00071dopenalex-snapshot
New structural alerts for Ames mutagenicity discovered using emerging pattern mining techniques
inferred← citeshttps://doi.org/10.1109/icdm.2011.100openalex-snapshot
Mining Dominant Patterns in the Sky
inferred← citeshttps://doi.org/10.1201/b12986-25openalex-snapshot
Emerging Patterns as Structural Alerts for Computational Toxicology
inferred← citeshttps://doi.org/10.1201/b12986-34openalex-snapshot
Mining Emerging Patterns for Activity Recognition
inferred← citeshttps://doi.org/10.14573/altex.1710141openalex-snapshot
Computational approaches to chemical hazard assessment
inferred← citeshttps://doi.org/10.2200/s00897ed1v01y201901dmk016openalex-snapshot
Exploiting the Power of Group Differences: Using Patterns to Solve Data Analysis Problems
inferred← citeshttps://doi.org/10.5936/csbj.201302013openalex-snapshot
AUTOMATED DETECTION OF STRUCTURAL ALERTS (CHEMICAL FRAGMENTS) IN (ECO)TOXICOLOGY
inferred← citeshttps://doi.org/10.70675/bd341027z4d48z4cb9z8b32z3323e774a493openalex-snapshot
Link prediction in bipartite multi-layer networks, with an application to drug-target interaction prediction
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