IDEAS home Printed from https://ideas.repec.org/a/spr/jcomop/v22y2011i2d10.1007_s10878-009-9279-9.html
   My bibliography  Save this article

Pooling designs for clone library screening in the inhibitor complex model

Author

Listed:
  • Fei-huang Chang

    (National Taiwan Normal University)

  • Huilan Chang

    (National Chiao Tung University)

  • Frank K. Hwang

    (National Chiao Tung University)

Abstract

In this paper we introduce inhibitors into the complex model and we give a lower bound and an upper bound of tests in a nonadaptive pooling design for some inhibitor complex model. We propose a very efficient pooling design for the general inhibitor complex model and extend it to the error-tolerant case.

Suggested Citation

  • Fei-huang Chang & Huilan Chang & Frank K. Hwang, 2011. "Pooling designs for clone library screening in the inhibitor complex model," Journal of Combinatorial Optimization, Springer, vol. 22(2), pages 145-152, August.
    • Handle: RePEc:spr:jcomop:v:22:y:2011:i:2:d:10.1007_s10878-009-9279-9
    DOI: 10.1007/s10878-009-9279-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10878-009-9279-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10878-009-9279-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hong Gao & F. K. Hwang & My T. Thai & Weili Wu & Taieb Znati, 2006. "Construction of d(H)-disjunct matrix for group testing in hypergraphs," Journal of Combinatorial Optimization, Springer, vol. 12(3), pages 297-301, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. H. B. Chen & D. Z. Du & F. K. Hwang, 2007. "An unexpected meeting of four seemingly unrelated problems: graph testing, DNA complex screening, superimposed codes and secure key distribution," Journal of Combinatorial Optimization, Springer, vol. 14(2), pages 121-129, October.
    2. My T. Thai & Taieb Znati, 2009. "On the complexity and approximation of non-unique probe selection using d-disjunct matrix," Journal of Combinatorial Optimization, Springer, vol. 17(1), pages 45-53, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jcomop:v:22:y:2011:i:2:d:10.1007_s10878-009-9279-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.