Keyphrases
Drug Discovery
100%
Type 2 Diabetes Mellitus (T2DM)
100%
Quantitative Structure-activity Relationship
100%
Ligand-based Virtual Screening
100%
Artificial Intelligence Paradigms
100%
CatBoost
26%
Sparse PCA
26%
Principal Coordinate Analysis (PCoA)
20%
Dipeptidyl peptidase-4 (DPP-4)
20%
Fingerprint Dataset
20%
Relationship Classification
20%
Selection Strategy
13%
Rotation Forest
13%
Analysis Structure
13%
Principal Component Analysis Model
13%
PCA Model
13%
K-modes
13%
Feature Selection Methods
6%
Feature Selection
6%
Deep Learning
6%
Machine Learning
6%
Sensitivity Specificity
6%
Regression Model
6%
Adverse Effects
6%
Range of Values
6%
Functional Class
6%
Fingerprinting Technique
6%
Deep Neural Network
6%
Deep Learning Methods
6%
Type 2 Diabetes Prevention
6%
Evaluation Metrics
6%
Effective Time
6%
Classification Structure
6%
Machine Learning Learning
6%
Deep Machine Learning
6%
ECFP_6
6%
Levenshtein Distance
6%
Extended-connectivity Fingerprints
6%
K-modes Clustering
6%
Matthews Correlation Coefficient
6%
Sparse Principal Component Analysis
6%
Learning Structure
6%
Engineering
Principal Components
100%
Component Analysis
100%
Artificial Intelligence
100%
Feature Extraction
33%
Selection Method
33%
Clustering Algorithm
33%
Learning System
33%
Deep Learning Method
33%
Good Performance
16%
Selection Process
16%
Metrics
16%
Levenshtein Distance
16%
Deep Neural Network
16%
Pharmacology, Toxicology and Pharmaceutical Science
Drug Discovery
100%
Virtual Screening
100%
Non Insulin Dependent Diabetes Mellitus
100%
Quantitative Structure Activity Relation
100%
Dipeptidyl Peptidase IV Inhibitor
20%
Quantitative Structure-Activity Relationship
20%
Chemical Engineering
Learning System
100%
Artificial Intelligence
100%
Deep Learning Method
100%
Deep Neural Network
50%