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Multilabeled Classification Approach To Find a Plant Source for Terpenoids

https://doi.org/10.1021/ci700175m
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What this work says

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

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A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
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Systematics and evolution within theCompositae, seen with the eyes of a chemist
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Learning multi-label scene classification
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Modern methods to produce natural-product libraries
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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/10.1002/9783527806539.ch6copenalex-snapshot
Chemoinformatics in Natural Product Research
inferred← citeshttps://doi.org/10.1002/chin.200818211openalex-snapshot
ChemInform Abstract: Multilabeled Classification Approach to Find a Plant Source for Terpenoids.
inferred← citeshttps://doi.org/10.1002/minf.201100052openalex-snapshot
Classification Models for Predicting Cytochrome P450 Enzyme‐Substrate Selectivity
inferred← citeshttps://doi.org/10.1007/s10822-020-00300-6openalex-snapshot
Enhancing reaction-based de novo design using a multi-label reaction class recommender
inferred← citeshttps://doi.org/10.1016/j.fct.2010.07.032openalex-snapshot
Toxicity prediction of compounds from turmeric (Curcuma longa L)
inferred← citeshttps://doi.org/10.1021/ci7004753openalex-snapshot
Predictive Activity Profiling of Drugs by Topological-Fragment-Spectra-Based Support Vector Machines
inferred← citeshttps://doi.org/10.1021/ci900299aopenalex-snapshot
Comparison of Multilabel and Single-Label Classification Applied to the Prediction of the Isoform Specificity of Cytochrome P450 Substrates
inferred← citeshttps://doi.org/10.1021/ci900311jopenalex-snapshot
Exploring Potency and Selectivity Receptor Antagonist Profiles Using a Multilabel Classification Approach: The Human Adenosine Receptors as a Key Study
inferred← citeshttps://doi.org/10.1186/s13321-015-0071-9openalex-snapshot
A multi-label approach to target prediction taking ligand promiscuity into account
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Erratum:Identification of the Dual Action Antihypertensive Drugs Using TFS-Based Support Vector Machines
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Identification of the Dual Action Antihypertensive Drugs Using TFS-Based Support Vector Machines
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Target Fishing: A Single-Label or Multi-Label Problem?
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Novel Quadruplex ligands : in silico and in vitro approaches
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