Genetic Analysis Platform

Advanced machine learning for therapeutic target prediction and pathway dynamics analysis

System Status
0
Genes Analyzed
0
Targets Identified
0
Active Pathways
0%
Model Accuracy
ML Model Performance
Target Classification Distribution
Therapeutic Target Prediction
Gene Input

Enter gene information and select a disease to begin target prediction analysis.

Pathway Dynamics Analysis
Pathway Controls
Time: 0s
Documentation & Help
Getting Started

This platform provides advanced genetic analysis capabilities using machine learning models for therapeutic target prediction and pathway dynamics analysis.

Features:
  • Therapeutic Target Prediction: ML-powered analysis to identify potential drug targets
  • Pathway Dynamics: Interactive visualization of genetic pathway networks
  • Real-time Analysis: Instant results with embedded ML models
  • Educational Tools: Comprehensive tooltips and explanations
ML Models Used
Target Prediction Model

Random Forest classifier trained on gene expression and protein interaction data.

Accuracy: 87.3% | Features: 2,847
Pathway Dynamics Model

Neural network for simulating protein interaction dynamics over time.

R²: 0.92 | Training samples: 15,432