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 $\hat{I}»$-{\sf ADD}-codes, studying such codes with certain distance $d$ and codelength $n$. When $d$ is constant, we provide explicit code constructions with rates close to $1/2$. When $d$ is proportional to $n$, we provide a GV-type lower bound whose rates are efficiently computable. Upper bounds for such codes are also studied.

To appear in ISIT 2024 Proceedings