A framework for generalized group testing with inhibitors and its potential application in neuroscience

Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi, Isao Echizen

Research output: Contribution to journalArticlepeer-review

Abstract

The main goal of group testing with inhibitors (GTI) is to efficiently identify a small number of defective items and inhibitor items in a large set of items. A test on a subset of items is positive if the subset satisfies some specific properties. Inhibitor items cancel the effects of defective items, which often make the outcome of a test containing defective items negative. Different GTI models can be formulated by considering how specific properties have different cancellation effects. This work introduces generalized GTI (GGTI) in which a new type of items is added, i.e., hybrid items. A hybrid item plays the roles of both defectives items and inhibitor items. Since the number of instances of GGTI is large (more than 7 million), we introduce a framework for classifying all types of items non-adaptively, i.e., all tests are designed in advance. We then explain how GGTI can be used to classify neurons in neuroscience. Finally, we show how to realize our proposed scheme in practice.

Original languageEnglish
JournalUnknown Journal
Publication statusPublished - Oct 2 2018

ASJC Scopus subject areas

  • General

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