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go-enrichment

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This is the digital version of my master project's logbook that is created by using Streamlit Python package to document all the command lines and codes that I ran to do my project so that other researchers can later reproduce the exact same analysis results

  • Updated May 24, 2025
  • Python

Shows how Wild Yak, Takin, and Water Buffalo adapt to climate change using data-driven habitat modeling, spatial mapping, and genomic analysis. Combines machine learning and biology to uncover patterns in where these animals live and how their genes respond to the environment - insights that support real-world conservation decisions.

  • Updated May 20, 2025
  • HTML

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