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Bayesian Similarity Searching in High-Dimensional Descriptor Spaces Combined with Kullback-Leibler Descriptor Divergence Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0016-0032(59)90368-0openalex-snapshot
Information theory and statistics
inferredcites →https://doi.org/10.1016/j.drudis.2007.01.011openalex-snapshot
Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches
inferredcites →https://doi.org/10.1021/ci000384copenalex-snapshot
Unsupervised Forward Selection: A Method for Eliminating Redundant Variables
inferredcites →https://doi.org/10.1021/ci025620topenalex-snapshot
Active Learning with Support Vector Machines in the Drug Discovery Process
inferredcites →https://doi.org/10.1021/ci049641uopenalex-snapshot
Virtual Screening of Molecular Databases Using a Support Vector Machine
inferredcites →https://doi.org/10.1021/ci050510iopenalex-snapshot
A Distance Function for Retrieval of Active Molecules from Complex Chemical Space Representations
inferredcites →https://doi.org/10.1145/1390156openalex-snapshot
Proceedings of the 25th international conference on Machine learning - ICML '08
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9780470567623.ch4openalex-snapshot
Data Mining Approaches for Compound Selection and Iterative Screening
inferred← citeshttps://doi.org/10.1002/9783527645121.ch8openalex-snapshot
Statistical Methods for Predicting Compound Recovery Rates for Ligand‐Based Virtual Screening and Assessing the Probability of Activity
inferred← citeshttps://doi.org/10.1002/cmdc.200900243openalex-snapshot
Molecular Fingerprint Recombination: Generating Hybrid Fingerprints for Similarity Searching from Different Fingerprint Types
inferred← citeshttps://doi.org/10.1002/cmdc.201000355openalex-snapshot
Development of Specific “Drug‐Like Property” Rules for Carboxylate‐Containing Oral Drug Candidates
inferred← citeshttps://doi.org/10.1002/sam.10035openalex-snapshot
Predicting the similarity search performance of fingerprints and their combination with molecular property descriptors using probabilistic and information theoretic modeling
inferred← citeshttps://doi.org/10.1007/978-0-387-30440-3_135openalex-snapshot
Drug Design with Machine Learning
inferred← citeshttps://doi.org/10.1007/978-1-60761-839-3_7openalex-snapshot
Bayesian Methods in Virtual Screening and Chemical Biology
inferred← citeshttps://doi.org/10.1021/ci200615hopenalex-snapshot
Comparison of Random Forest and Pipeline Pilot Naïve Bayes in Prospective QSAR Predictions
inferred← citeshttps://doi.org/10.1021/ci900087yopenalex-snapshot
Development of a Fingerprint Reduction Approach for Bayesian Similarity Searching Based on Kullback−Leibler Divergence Analysis
inferred← citeshttps://doi.org/10.1021/ci900419kopenalex-snapshot
Current Trends in Ligand-Based Virtual Screening: Molecular Representations, Data Mining Methods, New Application Areas, and Performance Evaluation
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2009.00930.xopenalex-snapshot
Reduction and Recombination of Fingerprints of Different Design Increase Compound Recall and the Structural Diversity of Hits
inferred← citeshttps://doi.org/10.1517/17460441.2010.486830openalex-snapshot
Advances in 2D fingerprint similarity searching
inferred← citeshttps://doi.org/10.3390/e20060438openalex-snapshot
Analysis of Cell Signal Transduction Based on Kullback–Leibler Divergence: Channel Capacity and Conservation of Its Production Rate during Cascade
inferred← citeshttps://doi.org/10.3390/info1020060openalex-snapshot
Application of Information—Theoretic Concepts in Chemoinformatics
inferred← citeshttps://doi.org/10.4018/978-1-61520-911-8.ch010openalex-snapshot
Virtual Screening Methods Based on Bayesian Statistics
inferred← citeshttps://doi.org/10.4155/fmc.12.126openalex-snapshot
Fingerprint Design And Engineering Strategies: Rationalizing And Improving Similarity Search Performance
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