Effective representations of protein sequences are widely recognized as a cornerstone of machine learning-based protein design. Yet, protein bioengineering poses unique challenges for sequence ...
Dimension reduction plays a crucial role in machine learning to serve data exploration and visualization 1,2. By transforming data into an embedding space, it reveals the intrinsic structures and ...
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