Computational protemics analysis of cancer cell-lines at the level of single-cells
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Updated
May 31, 2023 - R
Computational protemics analysis of cancer cell-lines at the level of single-cells
This code was written and used to perform the comparative interactome analysis of β-arrestin1 and 2.
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
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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