What constitutes a “good” dataset in your opinion? What undermines it? How long do you spend prepping these datasets, and where do you find them?
Hi emil,my advice is by bringing together information from many sources, biological systems can be better understood.
Data preprocessing is the essential step of cleaning, converting, and getting ready data for analysis.and
It’s critical to safeguard private patient information and make sure data is used morally.
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My own definition of "good data’ would be data which I spent months cleaning, of course with the help of doctors and stakeholders until it was satisfactory. The main issue is inaccuracies, especially in biology, where you need domain knowledge. Experts often don’t have time to clean annotations, so errors are common. My advise to anyone dealing with bio data is to actually examine the data closely instead of just relying on general metrics.
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