On the public citation graph
Emerging Pattern Mining To Aid Toxicological Knowledge Discovery
0 signed · 58 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/minf.201200081openalex-snapshot
Effectiveness of CASE Ultra Expert System in Evaluating Adverse Effects of Drugs
inferredcites →https://doi.org/10.1002/wcms.100openalex-snapshot
Computational toxicology: a tool for all industries
inferredcites →https://doi.org/10.1007/978-3-540-78246-9_38openalex-snapshot
KNIME: The Konstanz Information Miner
inferredcites →https://doi.org/10.1007/978-3-642-13657-3_18openalex-snapshot
A New Emerging Pattern Mining Algorithm and Its Application in Supervised Classification
inferredcites →https://doi.org/10.1007/s10844-011-0168-1openalex-snapshot
Extracting and summarizing the frequent emerging graph patterns from a dataset of graphs
inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50011-3openalex-snapshot
GALOIS : An order-theoretic approach to conceptual clustering
inferredcites →https://doi.org/10.1016/j.drudis.2012.07.016openalex-snapshot
Graph mining: procedure, application to drug discovery and recent advances
inferredcites →https://doi.org/10.1016/s1359-6446(04)03278-7openalex-snapshot
Predictive in silico modeling for hERG channel blockers
inferredcites →https://doi.org/10.1021/c160017a018openalex-snapshot
The Generation of a Unique Machine Description for Chemical Structures-A Technique Developed at Chemical Abstracts Service.
inferredcites →https://doi.org/10.1021/ci00046a002openalex-snapshot
Atom pairs as molecular features in structure-activity studies: definition and applications
inferredcites →https://doi.org/10.1021/ci010244iopenalex-snapshot
Analysis of Large Screening Data Sets via Adaptively Grown Phylogenetic-Like Trees
inferredcites →https://doi.org/10.1021/ci025592eopenalex-snapshot
Similarity Searching Using Reduced Graphs
inferredcites →https://doi.org/10.1021/ci049860fopenalex-snapshot
The Reduced Graph Descriptor in Virtual Screening and Data-Driven Clustering of High-Throughput Screening Data
inferredcites →https://doi.org/10.1021/ci0503715openalex-snapshot
Substructure Mining Using Elaborate Chemical Representation
inferredcites →https://doi.org/10.1021/ci100092xopenalex-snapshot
Introduction of Jumping Fragments in Combination with QSARs for the Assessment of Classification in Ecotoxicology
inferredcites →https://doi.org/10.1021/ci300254wopenalex-snapshot
Automating Knowledge Discovery for Toxicity Prediction Using Jumping Emerging Pattern Mining
inferredcites →https://doi.org/10.1021/ci400186nopenalex-snapshot
Classification of Compounds with Distinct or Overlapping Multi-Target Activities and Diverse Molecular Mechanisms Using Emerging Chemical Patterns
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/ci900161gopenalex-snapshot
Benchmark Data Set for in Silico Prediction of Ames Mutagenicity
inferredcites →https://doi.org/10.1023/a:1025361621494openalex-snapshot
In silico prediction of drug toxicity
inferredcites →https://doi.org/10.1073/pnas.210244497openalex-snapshot
A structural basis for drug-induced long QT syndrome
inferredcites →https://doi.org/10.1080/1062936x.2013.773376openalex-snapshot
Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction
inferredcites →https://doi.org/10.1109/tkde.2006.95openalex-snapshot
Fast discovery and the generalization of strong jumping emerging patterns for building compact and accurate classifiers
inferredcites →https://doi.org/10.1145/312129.312191openalex-snapshot
Efficient mining of emerging patterns
inferredcites →https://doi.org/10.2174/157340908783769238openalex-snapshot
Novel Rule-Based Method for Multi-Parametric Multi-Objective Decision Support in Lead Optimization Using KEM
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.201500004openalex-snapshot
Chemoinformatics at the University of Sheffield 2002–2014
inferred← citeshttps://doi.org/10.1002/minf.201600154openalex-snapshot
A Semi-automated Approach to Create Purposeful Mechanistic Datasets from Heterogeneous Data: Data Mining Towards the in silico Predictions for Oestrogen Receptor Modulation and Teratogenicity
inferred← citeshttps://doi.org/10.1007/978-3-030-06170-8_7openalex-snapshot
Artificial Intelligence and Bioinformatics
inferred← citeshttps://doi.org/10.1007/978-3-031-20730-3_20openalex-snapshot
Identification of Structural Alerts by Machine Learning and Their Applications in Toxicology
inferred← citeshttps://doi.org/10.1007/s10723-020-09526-yopenalex-snapshot
A Review of Supervised Classification based on Contrast Patterns: Applications, Trends, and Challenges
inferred← citeshttps://doi.org/10.1016/j.addr.2015.03.003openalex-snapshot
Computational investigations of hERG channel blockers: New insights and current predictive models
inferred← citeshttps://doi.org/10.1016/j.crtox.2023.100124openalex-snapshot
Enhancing developmental and reproductive toxicity knowledge: A new AOP stemming from glutathione depletion
inferred← citeshttps://doi.org/10.1016/j.ejps.2015.10.002openalex-snapshot
Characterization of Disopyramide derivative ADD424042 as a non-cardiotoxic neuronal sodium channel blocker with broad-spectrum anticonvulsant activity in rodent seizure models
inferred← citeshttps://doi.org/10.1016/j.ijpharm.2016.02.022openalex-snapshot
Prediction and characterization of P-glycoprotein substrates potentially bound to different sites by emerging chemical pattern and hierarchical cluster analysis
inferred← citeshttps://doi.org/10.1016/j.reprotox.2022.01.004openalex-snapshot
Using adverse outcome pathways to contextualise (Q)SAR predictions for reproductive toxicity – A case study with aromatase inhibition
inferred← citeshttps://doi.org/10.1016/j.yrtph.2016.01.008openalex-snapshot
It's difficult, but important, to make negative predictions
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.0c00006openalex-snapshot
Computational Approaches to Identify Structural Alerts and Their Applications in Environmental Toxicology and Drug Discovery
inferred← citeshttps://doi.org/10.1021/acs.chemrestox.7b00083openalex-snapshot
Evaluation of Different Methods for Identification of Structural Alerts Using Chemical Ames Mutagenicity Data Set as a Benchmark
inferred← citeshttps://doi.org/10.1021/acs.jcim.4c00127openalex-snapshot
Interpreting Neural Network Models for Toxicity Prediction by Extracting Learned Chemical Features
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.5b00323openalex-snapshot
Discriminative Chemical Patterns: Automatic and Interactive Design
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/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/10.1039/d2dd00136eopenalex-snapshot
Generating structural alerts from toxicology datasets using the local interpretable model-agnostic explanations method
inferred← citeshttps://doi.org/10.1093/bib/bbu042openalex-snapshot
Discriminative pattern mining and its applications in bioinformatics
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651552openalex-snapshot
Identifying Coordinated Activities on Online Social Networks Using Contrast Pattern Mining
inferred← citeshttps://doi.org/10.1371/journal.pone.0189538openalex-snapshot
Ensemble learning method for the prediction of new bioactive molecules
inferred← citeshttps://doi.org/10.15622/sp.39.13openalex-snapshot
Associative classification: analytical overview. Part 2
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/10.29183/2447-3073.mix2023.v9.n2.135-156openalex-snapshot
MINERAÇÃO DE DADOS E PREVISÃO DA ECOTOXICIDADE DE FLUIDOS DE PERFURAÇÃO – UMA REVISÃO SISTEMÁTICA
inferred← citeshttps://doi.org/10.3390/su8030239openalex-snapshot
Emerging Pattern-Based Clustering of Web Users Utilizing a Simple Page-Linked Graph
inferred← citeshttps://doi.org/10.46959/jeess.1300015openalex-snapshot
TESTING THE DISTRIBUTIONAL DIVERGENCE IN THE PILLARS OF REGIONAL DEVELOPMENT IN MOROCCO
inferred← citeshttps://doi.org/10.48550/arxiv.1811.04028openalex-snapshot
An Overview of Computational Approaches for Interpretation Analysis
inferred← citeshttps://doi.org/10.70675/904a658bz2f97z4ea3z9d5az34276193534aopenalex-snapshot
Novel pattern mining techniques for genome-wide association studies
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.