Protein Function Prediction

April 2019

Protein Function Prediction
Machine Learning Python Bioinformatics College Project
View on GitHub

Overview

Research Assistant Position - January to April 2019

College research project focused on predicting protein functions using machine learning algorithms and bioinformatics techniques. Applied computational methods to analyze biological data.

Project Highlights

  • Analysis of protein structural data
  • Machine learning classification models
  • Feature engineering from biological data
  • Prediction accuracy optimization
  • Computational biology research

Technologies Used

  • Python for data analysis and modeling
  • Machine Learning libraries (scikit-learn, pandas)
  • Bioinformatics tools and databases
  • Data Visualization for results analysis

Research Contributions

  • Developed predictive models for protein function classification
  • Analyzed large-scale biological datasets
  • Implemented feature extraction techniques
  • Optimized model performance through cross-validation

Key Learnings

  • Bioinformatics and computational biology
  • Working with biological databases
  • Machine learning in scientific research
  • Research paper writing and documentation