DocumentCode
28495
Title
Semiquantitative Group Testing
Author
Emad, Amin ; Milenkovic, Olgica
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Champaign, IL, USA
Volume
60
Issue
8
fYear
2014
fDate
Aug. 2014
Firstpage
4614
Lastpage
4636
Abstract
We propose a novel group testing method, termed semiquantitative group testing (SQGT), motivated by a class of problems arising in genome screening experiments. The SQGT is a (possibly) nonbinary pooling scheme that may be viewed as a concatenation of an adder channel and an integer-valued quantizer. In its full generality, SQGT may be viewed as a unifying framework for group testing, in the sense that most group testing models are special instances of SQGT. For the new testing scheme, we define the notion of SQ-disjunct and SQ-separable codes, representing generalizations of classical disjunct and separable codes. We describe several combinatorial and probabilistic constructions for such codes. While for most of these constructions, we assume that the number of defectives is much smaller than total number of test subjects, we also consider the case in which there is no restriction on the number of defectives and they may be as large as the total number of subjects. For the codes constructed in this paper, we describe a number of efficient decoding algorithms. In addition, we describe a belief propagation decoder for sparse SQGT codes for which no other efficient decoder is currently known.
Keywords
combinatorial mathematics; concatenated codes; decoding; group codes; SQ-disjunct codes; SQ-separable codes; SQGT; adder channel; belief propagation decoder; concatenation; genome screening; integer-valued quantizer; nonbinary pooling scheme; probabilistic constructions; semiquantitative group testing; several combinatorial; DNA; Decoding; Genomics; Probabilistic logic; Testing; Vectors; Belief propagation decoders; disjunct and separable codes; group testing; integer compressed sensing; sparse models;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2014.2327630
Filename
6823721
Link To Document