Single-cell exploratory analysis methods, including visualization methods and approaches for trajectory estimation, rely on either linear or non-linear data representation, each of which currently ...
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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