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Repertoire Libraries
The before and after plots tell the story. Noisy data
(before) can be quickly quieted by calculating repertoire equations
(after). Notice how the clumps of data - representing five
different animal species - work together to produce exactly what we
need - power equations with coefficients of correlation close to one
(r²≈1). The puzzle is
quickly solved by merely connecting these equations into a network.
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