AI is a buzzword word and it is spreading like wildfire in our lives (I can not live without ChatGPT) But bioinformatics existed before AI is cool. Most of the daily work is:
1. formulating the biological question
2. finding the right data to answer it.
3. if no such data is available, work with the wet lab team to generate them
4. after getting the data, do a thorough quality control
5. clean the messey data and metadata (the data that describes the data)
8. depending on the tasks, we may use regression, random forest, or XGboost (conventional machine learning techniques, and I do not consider them to be AI).
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1. formulating the biological question
2. finding the right data to answer it.
4. after getting the data, do a thorough quality control
5. clean the messey data and metadata (the data that describes the data)