A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference between ...
Deciphering cellular microenvironments at atlas scale remains challenging. Here, authors present a scalable contrastive learning framework using cell-centric subgraphs to map niches across platforms.
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