• 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