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Image Search Results
Journal: Journal of Xenobiotics
Article Title: Ecotoxicological Evaluation of Bisphenol A and Alternatives: A Comprehensive In Silico Modelling Approach
doi: 10.3390/jox13040046
Figure Lengend Snippet: Ecotoxicological models available in VEGA version 1.1.5 software.
Article Snippet:
Techniques: Software, Fluorescence In Situ Hybridization, Algae, Inhibition, Transformation Assay
Journal: Journal of Xenobiotics
Article Title: Ecotoxicological Evaluation of Bisphenol A and Alternatives: A Comprehensive In Silico Modelling Approach
doi: 10.3390/jox13040046
Figure Lengend Snippet: Score plot for Sludge Classification Toxicity model (ProtoQSAR/COMBASE). Compounds are color−coded based on their prediction as follows: toxic in red and non−toxic in green. Compounds with disconnected structures are indicated by black squares.
Article Snippet:
Techniques:
Journal: Journal of Xenobiotics
Article Title: Ecotoxicological Evaluation of Bisphenol A and Alternatives: A Comprehensive In Silico Modelling Approach
doi: 10.3390/jox13040046
Figure Lengend Snippet: Score plot for Sludge (EC50) toxicity model (ProtoQSAR/COMBASE). Compounds are color−coded based on their EC50 values: below 10 mg/L in red, between 10 and 100 mg/L in yellow, and over 100 mg/L in green. Compounds with disconnected structures are indicated by black squares.
Article Snippet:
Techniques:
Journal: JMIR Public Health and Surveillance
Article Title: Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation
doi: 10.2196/25807
Figure Lengend Snippet: Number of manually labeled Reddit posts by age category (December 2019).
Article Snippet: This model is both interpretable and has competitive predictive performance when compared with previous
Techniques: Labeling
Journal: JMIR Public Health and Surveillance
Article Title: Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation
doi: 10.2196/25807
Figure Lengend Snippet: Variables for modeling age of Reddit users in the training set derived from the comment, post, and user data collected for users whose ages were confirmed by manual labeling.
Article Snippet: This model is both interpretable and has competitive predictive performance when compared with previous
Techniques: Derivative Assay, Labeling
Journal: JMIR Public Health and Surveillance
Article Title: Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation
doi: 10.2196/25807
Figure Lengend Snippet: Classifier performance for predicting manually labeled age of Reddit users based on the full derived variable set.
Article Snippet: This model is both interpretable and has competitive predictive performance when compared with previous
Techniques: Labeling, Derivative Assay, Plasmid Preparation
Journal: JMIR Public Health and Surveillance
Article Title: Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation
doi: 10.2196/25807
Figure Lengend Snippet: Model performance on the test set for predicting age group of Reddit users using gradient boosted trees classifier with all features vs select features.
Article Snippet: This model is both interpretable and has competitive predictive performance when compared with previous
Techniques:
Journal: JMIR Public Health and Surveillance
Article Title: Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation
doi: 10.2196/25807
Figure Lengend Snippet: Permutation feature importance scores for top variables in the reduced model for predicting age of Reddit users.
Article Snippet: This model is both interpretable and has competitive predictive performance when compared with previous
Techniques: