Noise-Tolerant Codebooks for Semi-Quantitative Group Testing: Application to Spatial Genomics
Abstract: Motivated by applications in spatial genomics, we revisit group testing (Dorfman~1943) and propose the class of -{\sf ADD}-codes, studying such codes with certain distance and codelength . When is constant, we provide explicit code constructions with rates close to $1/2$. When is proportional to , we provide a GV-type lower bound whose rates are efficiently computable. Upper bounds for such codes are also studied.
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