This paper addresses the problem of compression of 3D point cloud sequences that are characterized by moving 3D positions and color attributes. As temporally successive point cloud frames share some ...
This project explores an unsupervised learning framework for modeling and generating piRNA sequences using Graph Neural Networks (GNNs). It treats piRNA sequences as linear graphs where each ...
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. Given knowledge of the ...
Edge_Indices = Sequence[Union[Dict[Tuple[str, str, str], np.ndarray], None]] Edge_Weights = Sequence[Union[Dict[Tuple[str, str, str], np.ndarray], None]] Node ...
Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
Decades of research has viewed DNA as a sequence-based instruction manual; yet every cell in the body shares the same genes – so where is the language that writes the memory of cell identities?
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