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Selection Operator

🚧 Work in progress — design archive, no runnable code yet

In antibody affinity maturation, "higher affinity" does not equal "reproduces more in the germinal center." Between them sits a selection operator, f = σ ∘ φ ∘ a. This repo studies how to invert it, along two orthogonal lines:

  • φ simulation-based inference — build a fake world (a germinal-center simulator) whose ground truth is known, forward-generate "sequence → fate" data, then inversely recover φ (the affinity-to-fitness translation) and check it against the bypass-recorded truth.
  • σ analytic inversion — take the survival/sampling projection σ as the primary object, decompose its four components and fold them back into a single likelihood, honestly marking the null space that the data cannot resolve in principle.

Currently this is a design and feasibility archive (context/, docs/); both lines are parked at the design gate. presentations/ is a walkthrough app covering the three-line progress.

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Inverting the antibody affinity-maturation selection operator f = sigma . phi . a: design archive of two orthogonal lines, phi simulation-based inference + sigma analytic inversion, with a three-line progress presentation

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