5 most important considerations for biological data analysis

Ignoring these fundamentals could lead to wrong interpretation of data that complicates your machine learning models

It’s a great sense of achievement to know that you have finished analysing your dataset. However, it is almost always a good habit to check through your data analysis and at times, even re-analyse the data in a different way to understand the data better and make the data analysis more outstanding. In this blog entry, I will highlight…