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Unpaired healthy cells can be iteratively transformed into plausible tumor-associated cell states using a seed-anchored diffusion process, revealing context-specific progression landscapes.
Weak 1:1 RNA-to-protein correlation is not a dead end for proteomic inference: genome-wide regularized regression uncovers stable, recurring transcriptomic modules that reliably predict the abundance of over 8,400 proteins across cancer cell lines.