Computational protemics analysis of cancer cell-lines at the level of single-cells
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
This code was written and used to perform the comparative interactome analysis of β-arrestin1 and 2.
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.
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