Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Abstract: Drug-Target Affinity (DTA) prediction plays a crucial role in drug discovery, and accurate DTA prediction can significantly reduce the cost of drug development. While most studies focus on ...
PanMAN data structures compress pangenomes massively, encode evolutionary histories, and enable scalable analysis of millions of genomes.
Engineers at the University of California have developed a new data structure and compression technique that enables the ...
Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
This book uses Python 3 as its programming language due to its popularity and how easy it is to use in real coding interviews. The purpose of the book is to guide the reader's preparation for ...
Bond orders and formal charges are empirically assigned by xyzgraph and should be treated as indicative only. They are particularly unreliable for metal-containing systems. Use them as qualitative ...
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