How is Transfer Learning Applied in Bioanalytical Sciences?
In Bioanalytical Sciences, transfer learning can be applied to various domains such as genomics, proteomics, metabolomics, and clinical diagnostics. For example, a model trained on a large dataset of protein structures can be adapted to predict the functions of unknown proteins or to identify potential drug targets.
