https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R
https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis

classification clustering ipython-notebook jupyter-notebook keras-neural-networks keras-tensorflow machine-learning neural-network numpy python r rmarkdown scikit-learn scipy tensorflow

Last synced: 23 days ago
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This research project uses machine learning techniques and neural network to uncover key factors that contribute to successful protein structure discovery using Python and R

• Host: GitHub
• URL: https://github.com/samkazan/structural_discovery_of_macromolecules_data_analysis
• Owner: SamKazan
• License: mit
• Created: 2023-02-14T00:05:03.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-01T18:02:09.000Z (10 months ago)
• Last Synced: 2024-11-13T00:43:33.409Z (3 months ago)
• Topics: classification, clustering, ipython-notebook, jupyter-notebook, keras-neural-networks, keras-tensorflow, machine-learning, neural-network, numpy, python, r, rmarkdown, scikit-learn, scipy, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 5.98 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Structural_Discovery_of_Macromolecules_Data_Analysis

This work aims to delve into the complex world of protein structure discovery by investigating the relationship between molecule type, experiment technique, residue count, and resolution. By using state-of-the-art machine learning techniques such as K-means clustering, Hierarchical clustering, and DBSCAN, this research seeks to uncover the underlying connections between crystallographic data and various factors that impact the process of solving protein structures. The results of this study could lead to a deeper understanding of the key factors that contribute to successful protein structure discovery and pave the way for future advancements in the field.