Identifying cellular identities is a key use case in single-cell transcriptomics. While machine learning has been leveraged to automate cell annotation predictions for some time, there has been little ...
Virtual cells are in silico models designed to simulate the molecular functions, processes and, ultimately, behavior of a biological cell. Historically, cell-modeling efforts have relied on ...
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