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Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models
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inferredcites →https://doi.org/10.1002/9781119634461.ch20openalex-snapshot
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inferredcites →https://doi.org/10.1002/qsar.19970160404openalex-snapshot
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inferredcites →https://doi.org/10.1080/01621459.1963.10500855openalex-snapshot
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inferredcites →https://doi.org/10.1080/01621459.1988.10478652openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/9783527645121.ch2openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/9783527645121.ch3openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/aris.2009.1440430108openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cjoc.200990222openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b0-08-045044-x/00145-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-396461-8.00013-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-409547-2.12379-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-801238-3.64317-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-813724-6.00004-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-323-85713-0.00019-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-15339-6.00015-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-15339-6.00029-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aca.2007.07.023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aca.2009.12.026openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aca.2014.12.033openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.aca.2014.12.056openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.artmed.2007.07.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.artmed.2008.11.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.atmosenv.2020.118158openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.biosystemseng.2018.10.003openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cbpa.2004.04.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ccr.2023.215565openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chemolab.2012.06.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chemolab.2013.10.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chemolab.2015.06.016openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.chemosphere.2005.04.115openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cities.2025.106537openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cmpb.2018.01.015openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2025.110829openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compbiomed.2010.06.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compchemeng.2009.04.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.drudis.2006.06.013openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.drudis.2014.10.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecoenv.2019.109733openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.energy.2017.12.083openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fct.2017.08.028openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.finr.2025.100011openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fufo.2024.100500openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ins.2012.06.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jchromb.2007.10.042openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jmgm.2010.07.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.molp.2020.12.012openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.scitotenv.2018.10.344openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.talanta.2006.10.022openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.tiv.2016.07.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.trgeo.2024.101202openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.yrtph.2006.10.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s1359-6446(05)03703-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/s1574-1400(06)02008-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.chemrestox.5b00358openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.est.9b04678openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.jcim.0c00139openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.jcim.0c01493openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.jcim.5b00238openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acs.jcim.6b00719openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/acsami.4c04467openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ci034160gopenalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ci034188sopenalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ci0342324openalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ci049652nopenalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ci100429uopenalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ci800038fopenalex-snapshot
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inferred← citeshttps://doi.org/10.1021/ci800164uopenalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-017-17701-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1039/9781847558879-00182openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/toxsci/kft164openalex-snapshot
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inferred← citeshttps://doi.org/10.1093/toxsci/kft189openalex-snapshot
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inferred← citeshttps://doi.org/10.1097/prs.0000000000011266openalex-snapshot
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inferred← citeshttps://doi.org/10.1097/sla.0b013e3181b07ffdopenalex-snapshot
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inferred← citeshttps://doi.org/10.1109/cyberneticscom.2012.6381610openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccsit.2010.5563669openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icct59356.2023.10419585openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icdmw.2014.64openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icmlc.2006.258674openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icosc.2015.7050783openalex-snapshot
Semantic classification of spacecraft's status: integrating system intelligence and human knowledge
inferred← citeshttps://doi.org/10.1109/mosicom59118.2023.10458835openalex-snapshot
Early diagnosis of polycystic ovarian syndrome (PCOS) using machine learning: an ensemble learning approach
inferred← citeshttps://doi.org/10.1109/southeastcon42311.2019.9020419openalex-snapshot
Forecasting the Success of Television Series using Machine Learning
inferred← citeshttps://doi.org/10.1109/tetci.2025.3577486openalex-snapshot
Towards a Comprehensive Taxonomy of Pointwise Reliability Assessment Techniques for Machine Learning Models
inferred← citeshttps://doi.org/10.1109/tsmca.2012.2183349openalex-snapshot
Fusion of Multiple Behaviors Using Layered Reinforcement Learning
inferred← citeshttps://doi.org/10.1111/coin.70122openalex-snapshot
A Multi‐Technique Feature Selection Framework Using Computational Intelligence and Internet of Medical Things for Early Detection of Polycystic Ovary Syndrome in Women
inferred← citeshttps://doi.org/10.1111/exsy.12702openalex-snapshot
Inmplode: A framework to interpret multiple related rule‐based models
inferred← citeshttps://doi.org/10.1111/j.1523-1739.2009.01341.xopenalex-snapshot
Consistent Ecological Selectivity through Time in Pacific Island Avian Extinctions
inferred← citeshttps://doi.org/10.1111/j.1747-0285.2012.01411.xopenalex-snapshot
Prediction of Organ Toxicity Endpoints by QSAR Modeling Based on Precise Chemical‐Histopathology Annotations
inferred← citeshttps://doi.org/10.1117/12.2254118openalex-snapshot
Comparison of classification methods for voxel-based prediction of acute ischemic stroke outcome following intra-arterial intervention
inferred← citeshttps://doi.org/10.1145/2769493.2769573openalex-snapshot
Extracting news text from web pages
inferred← citeshttps://doi.org/10.1145/3281505.3283393openalex-snapshot
Random-forest-based initializer for solving inverse problem in 3D motion tracking systems
inferred← citeshttps://doi.org/10.1177/026119290503300209openalex-snapshot
Current Status of Methods for Defining the Applicability Domain of (Quantitative) Structure-Activity Relationships
inferred← citeshttps://doi.org/10.1177/03611981231191521openalex-snapshot
Development of an Integrated Computing Platform for Measuring, Predicting, and Analyzing the Profile-Specific Fixity of Railway Tracks
inferred← citeshttps://doi.org/10.1177/23998083221111162openalex-snapshot
Deep learning-based investigation of the impact of urban form on the particulate matter concentration on a neighborhood scale
inferred← citeshttps://doi.org/10.1186/1471-2105-15-s11-s4openalex-snapshot
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists
inferred← citeshttps://doi.org/10.1186/1471-2105-6-s2-s4openalex-snapshot
Decision Forest Analysis of 61 Single Nucleotide Polymorphisms in a Case-Control Study of Esophageal Cancer; a novel method
inferred← citeshttps://doi.org/10.1186/1758-2946-4-29openalex-snapshot
Fast rule-based bioactivity prediction using associative classification mining
inferred← citeshttps://doi.org/10.1186/s13065-015-0109-0openalex-snapshot
Diverse models for anti-HIV activity of purine nucleoside analogs
inferred← citeshttps://doi.org/10.1186/s13321-020-00468-xopenalex-snapshot
Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets
inferred← citeshttps://doi.org/10.1186/s40795-022-00667-9openalex-snapshot
Infant and young child feeding practices are associated with childhood anaemia and stunting in sub-Saharan Africa
inferred← citeshttps://doi.org/10.1289/ehp.1510267openalex-snapshot
CERAPP: Collaborative Estrogen Receptor Activity Prediction Project
inferred← citeshttps://doi.org/10.1289/ehp.6497openalex-snapshot
ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.
inferred← citeshttps://doi.org/10.1289/ehp.7109openalex-snapshot
Using Decision Forest to Classify Prostate Cancer Samples on the Basis of SELDI-TOF MS Data: Assessing Chance Correlation and Prediction Confidence
inferred← citeshttps://doi.org/10.1289/ehp.7125openalex-snapshot
Assessment of Prediction Confidence and Domain Extrapolation of Two Structure-Activity Relationship Models for Predicting Estrogen Receptor Binding Activity
inferred← citeshttps://doi.org/10.1289/ehp5580openalex-snapshot
CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity
inferred← citeshttps://doi.org/10.1289/ehp8495openalex-snapshot
CATMoS: Collaborative Acute Toxicity Modeling Suite
inferred← citeshttps://doi.org/10.1289/txg.7125openalex-snapshot
Assessment of Prediction Confidence and Domain Extrapolation of Two Structure–Activity Relationship Models for Predicting Estrogen Receptor Binding Activity
inferred← citeshttps://doi.org/10.1371/journal.pcbi.1000937openalex-snapshot
Semantic Similarity for Automatic Classification of Chemical Compounds
inferred← citeshttps://doi.org/10.1371/journal.pone.0351833openalex-snapshot
Enhancing breath-based diagnostics through eXplainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1517/17460440903490395openalex-snapshot
Discovery of estrogen receptor modulators: a review of virtual screening and SAR efforts
inferred← citeshttps://doi.org/10.1517/17460441.2012.668182openalex-snapshot
Decision tree models for data mining in hit discovery
inferred← citeshttps://doi.org/10.1586/14737159.4.6.761openalex-snapshot
QA/QC: challenges and pitfalls facing the microarray community and regulatory agencies
inferred← citeshttps://doi.org/10.18632/oncotarget.21723openalex-snapshot
Development of estrogen receptor beta binding prediction model using large sets of chemicals
inferred← citeshttps://doi.org/10.18632/oncotarget.24458openalex-snapshot
Competitive docking model for prediction of the human nicotinic acetylcholine receptor α7 binding of tobacco constituents
inferred← citeshttps://doi.org/10.21437/interspeech.2008-190openalex-snapshot
LTS using decision forest of regression trees and neural networks
inferred← citeshttps://doi.org/10.2174/1568026618666180727152557openalex-snapshot
Applications of Machine Learning Methods in Drug Toxicity Prediction
inferred← citeshttps://doi.org/10.2174/1570163817666200806165934openalex-snapshot
Insights into Machine Learning-based Approaches for Virtual Screening in Drug Discovery: Existing Strategies and Streamlining Through FP-CADD
inferred← citeshttps://doi.org/10.2174/978160805379711201010194openalex-snapshot
Overview of QSAR Modelling in Rational Drug Design
inferred← citeshttps://doi.org/10.2217/bmm.09.81openalex-snapshot
Molecular Biomarkers: A US FDA Effort
inferred← citeshttps://doi.org/10.22214/ijraset.2022.47504openalex-snapshot
Drug Discovery Using Machine Learning and Data Analysis
inferred← citeshttps://doi.org/10.22214/ijraset.2023.52112openalex-snapshot
New-Generation Drug Discovery using Machine Learning
inferred← citeshttps://doi.org/10.22271/allresearch.2021.v7.i4a.8455openalex-snapshot
Machine Learning Techniques in Drug Discovery and Development
inferred← citeshttps://doi.org/10.26434/chemrxiv-2022-v6vgmopenalex-snapshot
A New Weighted Associative Classifier Based on Nature Language Processing and Its Application in Chemical Data Mining
inferred← citeshttps://doi.org/10.26599/bdma.2024.9020013openalex-snapshot
Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection
inferred← citeshttps://doi.org/10.3233/jcm-130472openalex-snapshot
Computation of models for prediction of blood brain barrier permeability using molecular descriptors
inferred← citeshttps://doi.org/10.32614/cran.package.dforestopenalex-snapshot
Dforest: Decision Forest
inferred← citeshttps://doi.org/10.3389/fenvs.2024.1505987openalex-snapshot
Modeling soil respiration in summer maize cropland based on hyperspectral imagery and machine learning
inferred← citeshttps://doi.org/10.3389/fphar.2022.1018226openalex-snapshot
Machine learning models for rat multigeneration reproductive toxicity prediction
inferred← citeshttps://doi.org/10.3389/frai.2021.638410openalex-snapshot
The Promise of AI for DILI Prediction
inferred← citeshttps://doi.org/10.3390/coatings14111357openalex-snapshot
Terahertz Non-Destructive Testing of Porosity in Multi-Layer Thermal Barrier Coatings Based on Small-Sample Data
inferred← citeshttps://doi.org/10.3390/electronics11111765openalex-snapshot
A Proposed Waiting Time Algorithm for a Prediction and Prevention System of Traffic Accidents Using Smart Sensors
inferred← citeshttps://doi.org/10.3390/ijerph13040372openalex-snapshot
A Rat α-Fetoprotein Binding Activity Prediction Model to Facilitate Assessment of the Endocrine Disruption Potential of Environmental Chemicals
inferred← citeshttps://doi.org/10.3390/ijerph13070705openalex-snapshot
Experimental Data Extraction and in Silico Prediction of the Estrogenic Activity of Renewable Replacements for Bisphenol A
inferred← citeshttps://doi.org/10.3390/ijerph13100958openalex-snapshot
Consensus Modeling for Prediction of Estrogenic Activity of Ingredients Commonly Used in Sunscreen Products
inferred← citeshttps://doi.org/10.3390/metabo10060243openalex-snapshot
Machine Learning Applications for Mass Spectrometry-Based Metabolomics
inferred← citeshttps://doi.org/10.3390/molecules17033383openalex-snapshot
Modeling Chemical Interaction Profiles: I. Spectral Data-Activity Relationship and Structure-Activity Relationship Models for Inhibitors and Non-inhibitors of Cytochrome P450 CYP3A4 and CYP2D6 Isozymes
inferred← citeshttps://doi.org/10.3390/molecules17033407openalex-snapshot
Modeling Chemical Interaction Profiles: II. Molecular Docking, Spectral Data-Activity Relationship, and Structure-Activity Relationship Models for Potent and Weak Inhibitors of Cytochrome P450 CYP3A4 Isozyme
inferred← citeshttps://doi.org/10.3390/molecules17054791openalex-snapshot
Comparison of Different Approaches to Define the Applicability Domain of QSAR Models
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