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Nonlinear Mapping Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/0470845015openalex-snapshot
Encyclopedia of Computational Chemistry
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Multivariate Density Estimation
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A new method for analyzing protein sequence relationships based on Sammon maps
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Multivariate Data Analysis
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Modern Multidimensional Scaling
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Encyclopedia of Computational Chemistry
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Virtual Compound Libraries: A New Approach to Decision Making in Molecular Discovery Research
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Synthesis and Applications of Small Molecule Libraries
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Improving the efficiency of Sammon's nonlinear mapping by using clustering archetypes
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Simple iterative method for overcoming errors due to heating of current-measuring shunts
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Multivariate Density Estimation, Theory, Practice, and Visualbation
inferredcites →https://doi.org/10.1109/t-c.1969.222678openalex-snapshot
A Nonlinear Mapping for Data Structure Analysis
inferredcites →https://doi.org/10.1109/tc.1977.1674822openalex-snapshot
A Triangulation Method for the Sequential Mapping of Points from N-Space to Two-Space
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V. Adaptive Control Processes
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A Heuristic Relaxation Method for Nonlinear Mapping in Cluster Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Multidimensional scaling and visualization of large molecular similarity tables
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Dimensionality Reduction Techniques for Pharmaceutical Data Mining
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Advanced Artificial Intelligence Methods Used in the Design of Pharmaceutical Agents
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Application of Data Mining Algorithms in Pharmaceutical Research and Development
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Molecular Similarity Methods and QSAR Models As Tools for Virtual Screening
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Lead Identification by Virtual Screening
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Developing Best Practices for Descriptor‐Based Property Prediction: Appropriate Matching of Datasets, Descriptors, Methods, and Expectations
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Multidimensional scaling of combinatorial libraries without explicit enumeration
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Stochastic Proximity Embedding: Methods and Applications
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Combining Multidimensional Scaling with Artificial Neural Networks
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Stochastic Proximity Embedding: A Simple, Fast and Scalable Algorithm for Solving the Distance Geometry Problem
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Molecular Similarity Measures
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Vector Representation Based Model Considering Randomness of User Mobility for Predicting Potential Users
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Genetic algorithms and self-organizing maps: a powerful combination for modeling complex QSAR and QSPR problems
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An information-theoretic characterization of partitioned property spaces
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Library Design: Reactant and Product-Based Approaches
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Library Design: Reactant and Product-Based Approaches
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Chemometrics tools in QSAR/QSPR studies: A historical perspective
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Computational mapping tools for drug discovery
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Data structures and computational tools for the extraction of SAR information from large compound sets
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Multi-structure docking analysis of BACE1 crystal structures and non-peptidic ligands
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The deep-source high-temperature geothermal field in Eastern China from machine learning
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Learning to improve the decision-making process in research
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Visual and computational analysis of structure–activity relationships in high-throughput screening data
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Using artificial neural networks to drive virtual screening of combinatorial libraries
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Design and Prioritization of Plates for High-Throughput Screening
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Feature Selection for Descriptor Based Classification Models. 1. Theory and GA-SEC Algorithm
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Rationalizing Three-Dimensional Activity Landscapes and the Influence of Molecular Representations on Landscape Topology and the Formation of Activity Cliffs
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MQN-Mapplet: Visualization of Chemical Space with Interactive Maps of DrugBank, ChEMBL, PubChem, GDB-11, and GDB-13
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Counting Clusters Using R-NN Curves
inferred← citeshttps://doi.org/10.1021/jm0104668openalex-snapshot
Feature Selection for Structure−Activity Correlation Using Binary Particle Swarms
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Multiobjective optimization of combinatorial libraries
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Multiobjective optimization of combinatorial libraries
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Combinatorial informatics in the post-genomics era
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A self-organizing principle for learning nonlinear manifolds
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Nonlinear Mapping using Particle Swarm Optimisation
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QUANTITATIVE STRUCTURE-METABOLISM RELATIONSHIP MODELING OF METABOLIC N-DEALKYLATION REACTION RATES
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Computationally efficient physics approximating neural networks for highly nonlinear maps
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Multiobjective optimization of combinatorial libraries
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Visualizing Clusters in Artificial Neural Networks Using Morse Theory
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Neural Networks as Robust Tools in Drug Lead Discovery and Development
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Retrospect and Prospect of Virtual Screening in Drug Discovery
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Comprehensive Computational Assessment of ADME Properties Using Mapping Techniques
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