For a long time, biologists studied cells by listening to just one voice in a polyphonic choir: measuring gene activity while ignoring how DNA is packed. It's like trying to grasp a conversation knowing only one language. LATTICE fixes this: the program learns five molecular 'languages' at once — from gene activity to spatial markers.
The algorithm arranges these data points into an ordered grid, reminiscent of a crystal structure, and reconstructs the overall picture by filling gaps much like a translator guesses unfamiliar words from context.
This approach captures regulatory patterns invisible to standard models. LATTICE doesn't just integrate data: it lowers the entropy of multidimensional information, turning it into an orderly flow, just as water carves a channel. It's reminiscent of spectroscopy, where a light beam splits into a spectrum — only here, molecular signals are split and then reunified.
The name LATTICE ('grid') nods to crystal lattices from physics: just as atoms in a crystal are arranged in strict order, data points on a tissue slice form an orderly network.