On the public citation graph

Investigation of the Use of Spectral Clustering for the Analysis of Molecular Data

0 signed · 57 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471224413openalex-snapshot
Reviews in Computational Chemistry
inferredcites →https://doi.org/10.1002/0471433519.ch1openalex-snapshot
Clustering Methods and Their Uses in Computational Chemistry
inferredcites →https://doi.org/10.1006/cviu.1997.0637openalex-snapshot
Quantitative Measures of Change Based on Feature Organization: Eigenvalues and Eigenvectors
inferredcites →https://doi.org/10.1006/jmbi.1995.0159openalex-snapshot
SCOP: A structural classification of proteins database for the investigation of sequences and structures
inferredcites →https://doi.org/10.1007/1-4020-2151-8_5openalex-snapshot
Introduction to Linear Algebra
inferredcites →https://doi.org/10.1007/978-1-4020-6291-9openalex-snapshot
An Introduction To Chemoinformatics
inferredcites →https://doi.org/10.1016/0020-0190(83)90088-1openalex-snapshot
An improved algorithm for hierarchical clustering using strong components
inferredcites →https://doi.org/10.1016/0024-3795(80)90167-6openalex-snapshot
Accuracy and effectiveness of the Lanczos algorithm for the symmetric eigenproblem
inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/j.bmc.2012.04.062openalex-snapshot
Early phase drug discovery: Cheminformatics and computational techniques in identifying lead series
inferredcites →https://doi.org/10.1016/j.bmcl.2008.12.065openalex-snapshot
Discovery of novel inhibitors of Trypanosoma cruzi trans-sialidase from in silico screening
inferredcites →https://doi.org/10.1016/j.ddtec.2006.12.007openalex-snapshot
Chemical diversity and biological activity
inferredcites →https://doi.org/10.1016/j.drudis.2009.05.011openalex-snapshot
Picking up the pieces with FBDD or FADD: invest early for future success
inferredcites →https://doi.org/10.1016/j.jmb.2010.10.015openalex-snapshot
Atomic-Level Characterization of the Ensemble of the Aβ(1–42) Monomer in Water Using Unbiased Molecular Dynamics Simulations and Spectral Algorithms
inferredcites →https://doi.org/10.1016/j.jmgm.2009.06.006openalex-snapshot
Clustering files of chemical structures using the Székely–Rizzo generalization of Ward's method
inferredcites →https://doi.org/10.1021/bk-2005-0894.ch011openalex-snapshot
Clustering Compound Data: Asymmetric Clustering of Chemical Datasets
inferredcites →https://doi.org/10.1021/ci010132ropenalex-snapshot
Reoptimization of MDL Keys for Use in Drug Discovery
inferredcites →https://doi.org/10.1021/ci034001xopenalex-snapshot
Analysis and Display of the Size Dependence of Chemical Similarity Coefficients
inferredcites →https://doi.org/10.1021/ci100050topenalex-snapshot
Extended-Connectivity Fingerprints
inferredcites →https://doi.org/10.1021/ci4000882openalex-snapshot
Fighting Obesity with a Sugar-Based Library: Discovery of Novel MCH-1R Antagonists by a New Computational–VAST Approach for Exploration of GPCR Binding Sites
inferredcites →https://doi.org/10.1021/ci400106gopenalex-snapshot
Do Not Hesitate to Use Tversky—and Other Hints for Successful Active Analogue Searches with Feature Count Descriptors
inferredcites →https://doi.org/10.1021/ci600565ropenalex-snapshot
Development of a Spectral Clustering Method for the Analysis of Molecular Data Sets
inferredcites →https://doi.org/10.1021/ci980109eopenalex-snapshot
Molecular Diversity and Representativity in Chemical Databases
inferredcites →https://doi.org/10.1021/jm8000373openalex-snapshot
Recent Developments in Fragment-Based Drug Discovery
inferredcites →https://doi.org/10.1039/b409865jopenalex-snapshot
Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structures
inferredcites →https://doi.org/10.1080/00401706.1987.10488304openalex-snapshot
Numerical Recipes: The Art of Scientific Computing
inferredcites →https://doi.org/10.1080/01621459.1963.10500845openalex-snapshot
Hierarchical Grouping to Optimize an Objective Function
inferredcites →https://doi.org/10.1080/14756360802204748openalex-snapshot
3D Pharmacophore, hierarchical methods, and 5-HT4receptor binding data
inferredcites →https://doi.org/10.1093/nar/gkj515openalex-snapshot
Spectral clustering of protein sequences
inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot
ChEMBL: a large-scale bioactivity database for drug discovery
inferredcites →https://doi.org/10.1093/protein/9.11.1063openalex-snapshot
An automated approach for clustering an ensemble of NMR-derived protein structures into conformationally related subfamilies
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/cvpr.1996.517115openalex-snapshot
Quantitative measures of change based on feature organization: eigenvalues and eigenvectors
inferredcites →https://doi.org/10.1109/tcbb.2012.108openalex-snapshot
SC³: Triple Spectral Clustering-Based Consensus Clustering Framework for Class Discovery from Cancer Gene Expression Profiles
inferredcites →https://doi.org/10.1137/1.9781611971163openalex-snapshot
The Symmetric Eigenvalue Problem
inferredcites →https://doi.org/10.1186/1471-2105-11-120openalex-snapshot
SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale
inferredcites →https://doi.org/10.1186/1758-2946-4-29openalex-snapshot
Fast rule-based bioactivity prediction using associative classification mining
inferredcites →https://doi.org/10.1201/9781420028683openalex-snapshot
Handbook of Parallel Computing and Statistics
inferredcites →https://doi.org/10.2307/2346526openalex-snapshot
Clustering Algorithms.
inferredcites →https://doi.org/10.4155/fmc.11.4openalex-snapshot
Effectiveness of 2D Fingerprints for Scaffold Hopping
inferredcites →https://doi.org/10.56021/9781421407944openalex-snapshot
Matrix Computations
inferredcites →https://doi.org/10.6028/jres.045.026openalex-snapshot
An iteration method for the solution of the eigenvalue problem of linear differential and integral operators
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-13-9181-1_26openalex-snapshot
Optimal Selection of Bands for Hyperspectral Images Using Spectral Clustering
inferred← citeshttps://doi.org/10.1007/s41870-024-01815-zopenalex-snapshot
Privacy-preserving eigenvector computation with applications in spectral clustering
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.106840openalex-snapshot
Ecological risk assessment and source apportionment of potentially toxic elements in an emerging mining zone region of northwestern Ghana
inferred← citeshttps://doi.org/10.1021/acs.jcim.6c00420openalex-snapshot
Nested TMAPs to Visualize Billions of Molecules
inferred← citeshttps://doi.org/10.1021/acs.jcim.9b00689openalex-snapshot
Development of New Methods Needs Proper Evaluation—Benchmarking Sets for Machine Learning Experiments for Class A GPCRs
inferred← citeshttps://doi.org/10.1039/d5dd00030kopenalex-snapshot
BitBIRCH: efficient clustering of large molecular libraries
inferred← citeshttps://doi.org/10.1101/2024.08.10.607459openalex-snapshot
Efficient clustering of large molecular libraries
inferred← citeshttps://doi.org/10.1109/cisat71030.2026.11682430openalex-snapshot
Identification of Molecular Subtypes and Prognostic Analysis of Gastric Cancer Based on Adaptive LASSO Dimension Reduction and Spectral Clustering
inferred← citeshttps://doi.org/10.1145/3556677.3556684openalex-snapshot
Comparison of cancer classification algorithms based on clustering analysis
inferred← citeshttps://doi.org/10.1155/2015/916240openalex-snapshot
Clustering Molecular Dynamics Trajectories for Optimizing Docking Experiments
inferred← citeshttps://doi.org/10.1186/s12859-025-06278-yopenalex-snapshot
SMILES alignment: a dynamic programming approach for the alignment of metabolites and other small organic molecules
inferred← citeshttps://doi.org/10.1186/s13321-017-0198-yopenalex-snapshot
Analysis of drug–endogenous human metabolite similarities in terms of their maximum common substructures
inferred← citeshttps://doi.org/10.1186/s40537-025-01231-5openalex-snapshot
A novel approach to automating unsupervised estimation of class distribution
inferred← citeshttps://doi.org/10.3389/fphar.2016.00266openalex-snapshot
MetMaxStruct: A Tversky-Similarity-Based Strategy for Analysing the (Sub)Structural Similarities of Drugs and Endogenous Metabolites
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.